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  • 1.
    Abrahamson, Peter
    et al.
    Örebro University, Swedish Business School at Örebro University.
    Bodin, Daniel
    Örebro University, Swedish Business School at Örebro University.
    Behov av stödundervisning i grundskolan: En designbaserad analys av longitudinella data2008Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
  • 2.
    Adolfsson, Chandra
    Örebro University, Department of Business, Economics, Statistics and Informatics.
    Utvärdering av granskningssystem för SCB:s undersökningar Kortperiodisk Sysselsättningsstatistik och Konjunkturstatistik över Vakanser2007Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
    Abstract [sv]

    I denna studie har undersökningarna Kortperiodisk Sysselsättningsstatistiks (KS) och Konjunkturstatistik över Vakansers (KV) befintliga granskningssystem utvärderats med avseende på hur effektivt det är. Processdata har framställts och analyserats. Resultaten tyder på att många av de inkomna blanketterna med misstänkt felaktiga uppgifter inte rättas upp, utan tvingas igenom trots att granskningssystemet ej accepterade uppgifterna. Det befintliga granskningssystemet har en högre träffsäkerhet avseende KS-undersökningen, men både KS och KV skulle kunnas granskas mer effektivt.

    För att utvärdera det befintliga granskningssystemet ytterligare användes en poängfunktion. Till studien fanns tillgång till både helt ogranskat material och helt granskat material och dessa material användes i poängfunktionen. Det uppräknade ogranskade värdet för varje objekt jämfördes med det uppräknade granskade värdet och ställdes i relation till respektive skattade branschtotal. De poängsatta blanketterna rangordnades sedan. Därefter analyserades materialet för att försöka finna var det skulle vara lämpligt att sätta det tröskelvärde som skulle skilja det material som ”egentligen” skulle ha behövts granskas från det som kunde ha lämnats orört. Att sätta tröskelvärdet är svårt. Här gjordes det godtyckligt utifrån kriterierna att det fel som införs i skattningarna för att allt material inte granskas skulle hållas så lågt som möjligt samt att antalet blanketter som skulle behöva granskas manuellt av produktionsgruppen också skulle hållas så lågt som möjligt. Även här visade det sig att det befintliga granskningssystemet inte är så effektivt som önskas. När resultaten från denna del av utvärderingen analyserades upptäcktes problem som beror på blankettutformningen. Skulle blanketterna ses över och åtgärdas skulle det fel som införs för att allt material inte granskas kunna minskas avsevärt. Genom att minska det införda felet kan tröskelvärdet förmodligen sättas på en ny nivå vilket medför att omfattningen av granskningen skulle minska ytterligare.

    Hur skulle då ett mer effektivt granskningssystem kunna se ut? I den här studien har valet fallit på att testa ”significance editing” på KS-undersökningen, det som på svenska kallas för effektgranskning. En poängfunktion användes även här, denna tilldelar de inkomna blanketterna varsin poäng och dessa poäng rangordnas därefter. Efter att poängen rangordnats bestäms en gräns, ett tröskelvärde, och de blanketter med en poäng som överstiger tröskelvärdet granskas och rättas upp av produktionsgruppen. De blanketter med en poäng som understiger det satta tröskelvärdet rättas inte upp, utan behåller sina originalvärden. Poängfunktionen jämför det inkomna ogranskade, uppräknade, värdet med ett uppräknat ”förväntat” värde och ställer denna differens i relation till den skattade branschtotalen. Svårigheten ligger ofta i att hitta ett bra förväntat värde och detta problem uppstår ideligen i urvalsundersökningar. Tanken med effektgranskning är att omfattningen av granskningen ska minska och den granskning som utförs ska ha effekt på slutresultatet.

    Det var inte lätt att hitta ett bra förväntat värde på den tid som stod till förfogande. Två problem som snabbt upptäcktes var dels att i KS-undersökningen finns inte uträknade säsongs- eller trendfaktorer per variabel. Dessutom byttes en mycket stor del av urvalet ut till kvartal 2 (som denna studie har avgränsats till att behandla). Detta har fått till följd att cirka hälften av objekten i urvalet inte går att följa bakåt i tiden eftersom de inte ingått i urvalet tidigare. I studien har respektive stratums medelvärde använts som förväntat värde. Resultaten visar att det valda förväntade värdet inte skulle ha använts i praktiken, men det fungerar bra i syfte att illustrera hur det i praktiken skulle kunna gå till att införa en mer effektiv granskning.

  • 3.
    Adolfsson, Per
    et al.
    Örebro University, Örebro University School of Business.
    Ivic, Marijo
    Örebro University, Örebro University School of Business.
    Ett försök till att statistiskt modellera matchutfall för fotbollens division 1 för herrar i Sverige2012Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
  • 4.
    Alam, Md. Moudud
    Örebro University, Swedish Business School at Örebro University.
    Computation and application of likelihood prediction with generalized linear and mixed modelsManuscript (preprint) (Other academic)
    Abstract [en]

    This paper presents the computation of likelihood prediction with the generalized linear and mixed models. The method of likelihood prediction is briefy discussed and approximate formulae are provided to make easy computation of the likelihoodprediction with generalized linear models. For complicated prediction problems, simulation methods are suggested. An R add-in package is accompanied to carryout the computation of the predictive inference with the generalized linear and mixed models. The likelihood prediction is applied to the prediction of the credit defaults using a real data set. Results show that the predictive likelihood can be a useful tool to predict portfolio credit risk.

  • 5.
    Alam, Md. Moudud
    Örebro University, Swedish Business School at Örebro University.
    Feasible computation of generalized linear mixed models with application to credit risk modelling2010Doctoral thesis, comprehensive summary (Other academic)
    Abstract [en]

    This thesis deals with developing and testing feasible computational procedures to facilitate the estimation of and carry out the prediction with the generalized linear mixed model (GLMM) with a scope of applying them to large data sets. The work of this thesis is motivated from an issue arising incredit risk modelling. We have access to a huge data set, consisting of about one million observations, on credit history obtained from two major Swedish banks. The principal research interest involved with the data analysis is to model the probability of credit defaults by incorporating the systematic dependencies among the default events. In order to model the dependent credit defaults we adopt the framework of GLMM which is apopular approach to model correlated binary data. However, existing computational procedures for GLMM did not offer us the flexibility to incorporate the desired correlation structure of defaults events.For the feasible estimation of the GLMM we propose two estimation techniques being the fixed effects (FE) approach and the two-step pseudolikelihood approach (2PL). The preciseness of the estimation techniques and their computational advantages are studied by Monte-Carlo simulations and by applying them to the credit risk modelling. Regarding the prediction issue, we show how to apply the likelihood principle to carryout prediction with GLMM. We also provide an R add-in package to facilitate the predictive inference for GLMM.

    List of papers
    1. Computationally feasible estimation of the covariance structure in generalized linear mixed models 
    Open this publication in new window or tab >>Computationally feasible estimation of the covariance structure in generalized linear mixed models 
    2008 (English)In: Journal of Statistical Computation and Simulation, ISSN 0094-9655, E-ISSN 1563-5163, Vol. 78, no 12, 1229-1239 p.Article in journal (Refereed) Published
    Abstract [en]

    In this paper, we discuss how a regression model, with a non-continuous response variable, which allows for dependency between observations, should be estimated when observations are clustered and measurements on the subjects are repeated. The cluster sizes are assumed to be large.We find that the conventional estimation technique suggested by the literature on generalized linear mixed models(GLMM) is slow and sometimes fails due to non-convergence and lack of memory on standard PCs.We suggest to estimate the random effects as fixed effects by generalized linear model and to derive the covariance matrix from these estimates.A simulation study shows that our proposal is feasible in terms of mean-square error and computation time.We recommend that our proposal be implemented in the software of GLMM techniques so that the estimation procedure can switch between the conventional technique and our proposal, depending on the size of the clusters.

    Place, publisher, year, edition, pages
    London: Taylor & Francis, 2008
    Keyword
    Monte Carlo simulations, Large sample, Interdependence, Cluster errors
    National Category
    Probability Theory and Statistics Social Sciences
    Research subject
    Statistics
    Identifiers
    urn:nbn:se:oru:diva-14060 (URN)10.1080/00949650701688547 (DOI)
    Note
    Mr Alam is also affiliated to Dalarna University, SE 781 88 Borlange, SwedenAvailable from: 2011-01-19 Created: 2011-01-19 Last updated: 2017-10-17Bibliographically approved
    2. Feasible estimation of generalized linear mixed models (GLMM) with weak dependency between groups
    Open this publication in new window or tab >>Feasible estimation of generalized linear mixed models (GLMM) with weak dependency between groups
    2010 (English)Manuscript (preprint) (Other academic)
    Abstract [en]

    This paper presents a two-step pseudo likelihood estimation for generalized linear mixed models with the random effects being correlated between groups. The core idea is to deal with the random intractable integrals in  the likelihood function by multivariate Taylor's approximation. The accuracy of the estimation technique is assessed in a Monte-Carlo study: An application of it with binary response variable is presented using a real dara set on credit defaults from two Swedish banks. Thanks to   the use of two-step estimation technique, the proposed algorithm outperforms conventional likelihood algoritms in terms of computational time.

    Keyword
    PQL, Laplace approximation, interdependence, cluster errrors, credit risk model
    National Category
    Social Sciences Probability Theory and Statistics
    Research subject
    Statistics
    Identifiers
    urn:nbn:se:oru:diva-14061 (URN)
    Note

    Mr Alam is also affiliated to Dalarna University, SE 781 88 Borlange, Sweden

    Available from: 2011-01-19 Created: 2011-01-19 Last updated: 2017-10-17Bibliographically approved
    3. Industry shocks and empirical evidences on defaults comovements
    Open this publication in new window or tab >>Industry shocks and empirical evidences on defaults comovements
    (English)Manuscript (preprint) (Other academic)
    Abstract [en]

    It is commonly agreed that the credit defaults are correlated. However, the structure and magnitude of such dependence is not yet fully understood. This paper contributes to the current understanding about the defaults comovement in the following way. Assuming that the industries provides the basis of defaults comovement it provides empirical evidence as to how such comovements can be modeled using correlated industry shocks. Generalized linear mixed model (GLMM) with correlated random effects is used to model the defaults comovement. It is also demonstrated as to how a GLMM with complex correlation structure can be estimated through a very simple way. Empirical evidences are drawn through analyzing quarterly individual borrower level credit history data obtained from two major Swedish banks between the period 1994 and 2000. The results show that, conditional on the borrower level accounting data and macro business cycle variables, the defaults are correlated both within and between industries but not over time (quarters). A discussion has also been presented as to how a GLMM for defaults correlation can be explained.

    Keyword
    Credit risk, defaults contagion, GLMM, cluster correlation
    National Category
    Social Sciences Probability Theory and Statistics
    Research subject
    Statistics
    Identifiers
    urn:nbn:se:oru:diva-14072 (URN)
    Note

    Mr Alam is also affiliated to Dalarna University, SE 781 88 Borlange, Sweden

    Available from: 2011-01-19 Created: 2011-01-19 Last updated: 2017-10-17Bibliographically approved
    4. Likelihood prediction for generalized linear mixed models under covariate uncertainty
    Open this publication in new window or tab >>Likelihood prediction for generalized linear mixed models under covariate uncertainty
    2010 (English)Manuscript (preprint) (Other academic)
    Abstract [en]

    This paper presents the techniques of likelihood prediction for the generalized linear mixed models. Methods of likelihood prediction is explained through a series of examples; from a classical one to more complicated ones. The examples show, in simple cases, that the likelihood prediction (LP) coincides with already known best frequentist practice such as the best linear unbiased predictor. The paper outlines a way to deal with the covariate uncertainty while producing predictive inference. Using a Poisson error-in-variable general-ized linear model, it has been shown that in complicated cases LP produces better results than already know methods.

    Keyword
    Predictive likelihood, Pro…le predictive likelihood, Stochastic covariate, Coverage interval, Future value prediction, Credit risk prediction
    National Category
    Social Sciences Probability Theory and Statistics
    Research subject
    Statistics
    Identifiers
    urn:nbn:se:oru:diva-14079 (URN)
    Note

    Mr Alam is also affiliated to Dalarna University, SE 781 88 Borlange, Sweden

    Available from: 2011-01-19 Created: 2011-01-19 Last updated: 2017-10-17Bibliographically approved
    5. Computation and application of likelihood prediction with generalized linear and mixed models
    Open this publication in new window or tab >>Computation and application of likelihood prediction with generalized linear and mixed models
    (English)Manuscript (preprint) (Other academic)
    Abstract [en]

    This paper presents the computation of likelihood prediction with the generalized linear and mixed models. The method of likelihood prediction is briefy discussed and approximate formulae are provided to make easy computation of the likelihoodprediction with generalized linear models. For complicated prediction problems, simulation methods are suggested. An R add-in package is accompanied to carryout the computation of the predictive inference with the generalized linear and mixed models. The likelihood prediction is applied to the prediction of the credit defaults using a real data set. Results show that the predictive likelihood can be a useful tool to predict portfolio credit risk.

    Keyword
    Predictive likelihood, Pro…le predictive likelihood, Coverage inter- val, Future value prediction, Credit risk prediction, R-package.
    National Category
    Social Sciences Probability Theory and Statistics
    Research subject
    Statistics
    Identifiers
    urn:nbn:se:oru:diva-14081 (URN)
    Note

    Mr Alam is also affiliated to Dalarna University, SE 781 88 Borlange, Sweden

    Available from: 2011-01-19 Created: 2011-01-19 Last updated: 2017-10-17Bibliographically approved
  • 6.
    Alam, Md. Moudud
    Örebro University, Swedish Business School at Örebro University.
    Feasible estimation of generalized linear mixed models (GLMM) with weak dependency between groups2010Manuscript (preprint) (Other academic)
    Abstract [en]

    This paper presents a two-step pseudo likelihood estimation for generalized linear mixed models with the random effects being correlated between groups. The core idea is to deal with the random intractable integrals in  the likelihood function by multivariate Taylor's approximation. The accuracy of the estimation technique is assessed in a Monte-Carlo study: An application of it with binary response variable is presented using a real dara set on credit defaults from two Swedish banks. Thanks to   the use of two-step estimation technique, the proposed algorithm outperforms conventional likelihood algoritms in terms of computational time.

  • 7.
    Alam, Md. Moudud
    Örebro University, Swedish Business School at Örebro University.
    Industry shocks and empirical evidences on defaults comovementsManuscript (preprint) (Other academic)
    Abstract [en]

    It is commonly agreed that the credit defaults are correlated. However, the structure and magnitude of such dependence is not yet fully understood. This paper contributes to the current understanding about the defaults comovement in the following way. Assuming that the industries provides the basis of defaults comovement it provides empirical evidence as to how such comovements can be modeled using correlated industry shocks. Generalized linear mixed model (GLMM) with correlated random effects is used to model the defaults comovement. It is also demonstrated as to how a GLMM with complex correlation structure can be estimated through a very simple way. Empirical evidences are drawn through analyzing quarterly individual borrower level credit history data obtained from two major Swedish banks between the period 1994 and 2000. The results show that, conditional on the borrower level accounting data and macro business cycle variables, the defaults are correlated both within and between industries but not over time (quarters). A discussion has also been presented as to how a GLMM for defaults correlation can be explained.

  • 8.
    Alam, Md. Moudud
    Örebro University, Swedish Business School at Örebro University.
    Likelihood prediction for generalized linear mixed models under covariate uncertainty2010Manuscript (preprint) (Other academic)
    Abstract [en]

    This paper presents the techniques of likelihood prediction for the generalized linear mixed models. Methods of likelihood prediction is explained through a series of examples; from a classical one to more complicated ones. The examples show, in simple cases, that the likelihood prediction (LP) coincides with already known best frequentist practice such as the best linear unbiased predictor. The paper outlines a way to deal with the covariate uncertainty while producing predictive inference. Using a Poisson error-in-variable general-ized linear model, it has been shown that in complicated cases LP produces better results than already know methods.

  • 9.
    Alam, Md. Moudud
    et al.
    Örebro University, Swedish Business School at Örebro University.
    Carling, Kenneth
    Dalarna University, SE 781 88 Borlange, Sweden.
    Computationally feasible estimation of the covariance structure in generalized linear mixed models 2008In: Journal of Statistical Computation and Simulation, ISSN 0094-9655, E-ISSN 1563-5163, Vol. 78, no 12, 1229-1239 p.Article in journal (Refereed)
    Abstract [en]

    In this paper, we discuss how a regression model, with a non-continuous response variable, which allows for dependency between observations, should be estimated when observations are clustered and measurements on the subjects are repeated. The cluster sizes are assumed to be large.We find that the conventional estimation technique suggested by the literature on generalized linear mixed models(GLMM) is slow and sometimes fails due to non-convergence and lack of memory on standard PCs.We suggest to estimate the random effects as fixed effects by generalized linear model and to derive the covariance matrix from these estimates.A simulation study shows that our proposal is feasible in terms of mean-square error and computation time.We recommend that our proposal be implemented in the software of GLMM techniques so that the estimation procedure can switch between the conventional technique and our proposal, depending on the size of the clusters.

  • 10.
    Allansson, Claes
    et al.
    Örebro University, Örebro University School of Business.
    Kumlin, Marina
    Örebro University, Örebro University School of Business.
    En studie av svensk ishockey: Olika faktorers påverkan på utgången av en förlängning2014Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
  • 11.
    Alsammarraie, Zeinab
    et al.
    Örebro University, Örebro University School of Business.
    Rådelid, Daniel
    Örebro University, Örebro University School of Business.
    Födelsemånandens betydelse för elitutövande individer: En studie som undersöker sporterna fotboll och friidrott2017Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
  • 12.
    Amnå, Erik
    et al.
    Örebro University, Department of Social and Political Sciences.
    Halleröd, Björn
    Umeå universitet.
    Hallqvist, Johan
    Karolinska Institutet.
    Lundberg, Ingvar
    Uppsala universitet.
    Sundqvist, Jan
    Karolinska Institutet.
    Theorell, Töres
    Karolinska Institutet.
    Thorslund, Mats
    Karolinska Institutet.
    Vingård, Eva
    Uppsala universitet.
    Wall, Stig
    Umeå universitet.
    Åkerstedt, Torbjörn
    Karolinska Institutet.
    Östergren, Per Olof
    Lunds universitet.
    En halv miljard av statens pengar riskerar att slösas bort2007In: Göteborgs-Posten, Vol. 2007-09-13, 47-47 p.Article in journal (Other (popular science, discussion, etc.))
    Abstract [sv]

    Minskade anslag gör att den årliga undersökningen om våra levnadsförhållanden hotas att halveras. Det kan drabba redan svaga grupper som äldre, invandrare och ensamstående föräldrar.

  • 13.
    Andersson, Jens
    et al.
    Örebro University, Örebro University School of Business.
    Munter, Petrus
    Örebro University, Örebro University School of Business.
    Fotbollshörnor - En statistisk oddsmodell2017Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
  • 14.
    Andersson, Michael K.
    et al.
    Sveriges Riksbank.
    Karlsson, Sune
    Örebro University, Swedish Business School at Örebro University.
    Bayesian forecast combination for VAR models2008In: Bayesian Econometrics / [ed] Siddhartha Chib, William Griffiths, Gary Koop, Dek Terrell, Bingley: Emerald , 2008, 501-524 p.Chapter in book (Other academic)
  • 15.
    Andersson, Michael K.
    et al.
    National Institute of Economic Research, Stockholm, Sweden.
    Karlsson, Sune
    Department of Economic Statistics, Stockholm School of Economics, Stockholm, Sweden.
    Bootstrapping Error Component Models2001In: Computational statistics (Zeitschrift), ISSN 0943-4062, E-ISSN 1613-9658, Vol. 16, no 2, 221-231 p.Article in journal (Refereed)
    Abstract [en]

    This paper proposes several resampling algorithms suitable for error component models and evaluates them in the context of bootstrap testing. In short, all the algorithms work well and lead to tests with correct or close to correct size. There is thus little or no reason not to use the bootstrap with error component models.

  • 16.
    Andersson, Per Gösta
    Örebro University, Swedish Business School at Örebro University.
    A Simple Correlation Adjustment Procedure Applied to Confidence Interval Construction2009In: American Statistician, ISSN 0003-1305, E-ISSN 1537-2731, Vol. 63, no 3, 258-262 p.Article in journal (Refereed)
    Abstract [en]

    The assumption of approximate normality of a pivotal used for constructing confidence intervals or tests often is violated by a substantial correlation between the point estimator at hand and the estimator of its variance. This can be caused by underlying skewness of data, generating both bias and skewness of the pivotal and leading to, for example, confidence intervals with poorer coverage properties, especially for one-sided intervals. We present in a general setting a simple, yet effective procedure that takes into account this correlation and leads to alternative adjusted intervals with more appealing coverage properties. We provide examples, including a simulation study.

  • 17.
    Andersson, Stefan
    Örebro University, Swedish Business School at Örebro University.
    Estimering av den årliga rundgången i de svenska skatte- och transfereringssystemen2010Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
  • 18. Arnrup, Kristina
    et al.
    Broberg, Anders G.
    Berggren, Ulf
    Bodin, Lennart
    Örebro University, Department of Business, Economics, Statistics and Informatics.
    Temperamental reactivity and negative emotionality in uncooperative children referred to specialized paediatric dentistry compared to children in ordinary dental care2007In: International Journal of Paediatric Dentistry, ISSN 0960-7439, E-ISSN 1365-263X, Vol. 17, no 6, 419-429 p.Article in journal (Refereed)
    Abstract [en]

    Background: Current treatment of children with dental behaviour management problems (DBMP) is based on the presupposition that their difficulties are caused by dental fear, but is this always the case? Objectives: The aim of this study was to study temperamental reactivity, negative emotionality, and other personal characteristics in relation to DBMP in 8- to 12-year-old children. Methods: Forty-six children referred because of DBMP (study group) and 110 children in ordinary dental care (reference group) participated. The EASI tempramental survey assessed temperamental reactivity and negative emotionality, the Child Behaviour Questionnaire internalizing and externalizing behaviour problems, and the Children's Fear Survey Schedule general and dental fears. Cluster analyses and tree-based modelling were used for data analysis. Results: Among the five clusters identified, one could be characterized as 'balanced temperament'. Thirty-five per cent of the reference group compared to only 7% of the study group belonged to this cluster. Negative emotionality was the most important sorting variable. Conclusions: Children referred because of DBMP differed from children in ordinary dental care, not only in dental fear level, but also in personal characteristics. Few of the referred children were characterized by a balanced temperament profile. It is important to consider the dual impact of emotion dysregulation and emotional reactivity in the development of DBMP.

  • 19.
    Arvidsson, Mattias
    Örebro University, Örebro University School of Business.
    An empirical examination of the Fisher hypothesis in Sweden2012Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
  • 20.
    Arvidsson, Mattias
    Örebro University, School of Science and Technology.
    Introduktion till Markovkedjor2012Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
  • 21.
    Arvidsson, Mattias
    et al.
    Örebro University, Swedish Business School at Örebro University.
    Enmalm, Susanne
    Örebro University, Swedish Business School at Örebro University.
    Vilken är den optimala parkeringsplatsen?: - En undersökande artikel för att statistiskt finna den optimala parkeringsplatsen.2010Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
  • 22.
    Asgharian, Hossein
    et al.
    Department of Economics, Lund University, Knut Wicksell Center for Financial Studies, Sweden.
    Hou, Ai Jun
    Department of Business and Economics, Southern Denmark University, Odense, Denmark.
    Javed, Farrukh
    Department of Statistics, Lund University, Sweden.
    The Importance of the Macroeconomic Variables in Forecasting Stock Return Variance: A GARCH-MIDAS Approach2013In: Journal of Forecasting, ISSN 0277-6693, E-ISSN 1099-131X, Vol. 32, no 7, 600-612 p.Article in journal (Refereed)
    Abstract [en]

    This paper applies the GARCH-MIDAS (mixed data sampling) model to examine whether information contained in macroeconomic variables can help to predict short-term and long-term components of the return variance. A principal component analysis is used to incorporate the information contained in different variables. Our results show that including low-frequency macroeconomic information in the GARCH-MIDAS model improves the prediction ability of the model, particularly for the long-term variance component. Moreover, the GARCH-MIDAS model augmented with the first principal component outperforms all other specifications, indicating that the constructed principal component can be considered as a good proxy of the business cycle.

  • 23.
    Ashraf, Jawad Hussain
    Örebro University, Swedish Business School at Örebro University.
    Nonparametric Estimation of Stochastic Volatility2009Independent thesis Advanced level (degree of Master (One Year)), 10 credits / 15 HE creditsStudent thesis
  • 24.
    Ayres, Gabriela
    et al.
    Örebro University, Örebro University School of Business.
    Wei, Wei
    Örebro University, Örebro University School of Business.
    Credit Scoring Model Applications: Testing Multinomial Targets2014Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
  • 25.
    Bannocks, Robert
    Örebro University, Örebro University School of Business.
    Investigating clustering within the relationship between rateable values and selling price of property in Sweden2013Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
    Abstract [en]

    Several studies have found segmentation within Real Estate markets. Real Estate markets are often modelled by hedonic models and these often rely on proxy variables to represent a number of hedonic characteristics. The rateable value of a property is designed to be a measure of its market value and is often used as a proxy for difficult to observe or unobservable characteristics in such studies. Such studies often assume that the rateable value is simply proportional to the market value of a property. The presence of segmentation may invalidate this assumption. A sample of data from the Real Property Register maintained by Lantmäteriet, the Swedish land registry, were investigated to explore the relationship between land values and rateable values. The sample studied contains the selling price of properties sold across a range of years, the year of sale and a limited number of other characteristics. However, the rateable values for these properties are only available for a given year, the calendar year 2009. Accounting for inflationary effects is therefore necessary and was attempted in the model with indicator variables and then a quadratic expression. An inconsistent relationship between the selling price and the rateable value was found when a simple non-segmented model was used. With the absence of other likely explanatory variables in the data clustering techniques were considered to anatomise the data. Finite Mixture Modelling is the most appropriate method of classifying this data into clusters which are modelled as a finite mixture of regression models. The investigation found the presence of 3 distinct clusters. None of the variables in the data set appear to cause cluster affiliation.

  • 26.
    Baquedano, Jonathan
    Örebro University, Swedish Business School at Örebro University.
    Jämförelse av svarskvalitet i Webbenkäter kontra Pappersenkäter2009Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
  • 27.
    Bengtsson, Pernilla
    Örebro University, Department of Business, Economics, Statistics and Informatics.
    Framtagande av modell för skattning av antalet vakanser med poissonregression i konjunkturstatistiken över vakanser2007Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
    Abstract [sv]

    SCB gör en vakansundersökning varje månad, granskningssystemet för undersökningen ska eventuellt ändras till en metod som kallas för significance editing. Med den granskningsmetoden behövs ett jämförelsevärde för att kunna avgöra om enkäten är korrekt besvarad eller om ett värde är misstänkt och behöver granskas ytterligare. Uppsatsens syfte är att genom poissonregression ta fram en bra modell som kan generera detta jämförelsevärde. Ett antal hjälpvariabler togs fram och testades för att se om de passade i poissonregressionen och om de kunde förklara antalet vakanser. De hjälpvariabler som har använts är antal vakanser föregående månad, antal anställda på arbetsstället, dummyvariabel för Sveriges län och månaderna. Metoden testades på två olika branscher, pappersmassaindustrin och metallindustrin. I de resultat som togs fram kan man se att variablerna antal anställda på arbetsstället och antalet vakanser föregående månad alltid blir signifikanta och tillför till att skatta antalet vakanser. Därför kan dessa användas för att skatta ett jämförelsevärde. Län och månader behövs i modellen men det är olika län och månader som blir signifikanta för de två olika branscherna. Generellt kan man dra slutsatsen att antalet vakanser ökar på våren och sommaren. Huruvida metoden går att tillämpa på det ogranskade datamaterialet får vidare undersökningar visa.

  • 28.
    Bergman, Lars
    et al.
    Stockholm University.
    Trost, Kari
    Örebro University, School of Law, Psychology and Social Work.
    The person-oriented vs.the variable-oriented approach: Complementary, antagonistic, or exploringdifferent worlds?2006In: Merrill-Palmer quarterly, ISSN 0272-930X, E-ISSN 1535-0266, Vol. 52, no 3, 601-632 p.Article in journal (Refereed)
    Abstract [en]

    The present commentary gives a brief overview of the person-oriented and variable-oriented approaches, how they are commonly used in longitudinal research, and what one should take into consideration before using either approach. In addition to presenting an empirical example on girls’ adjustment problems using both approaches, this commentary uses the contributions in the present issue of Merrill Palmer Quarterly to illustrate some of the main issues surrounding these two perspectives. Special attention is also given to the contrast between the person-oriented and variable-oriented approaches in terms of aggregation and disaggregation, model appropriateness and usefulness, and prediction as a goal. Future directions with regard to implementing a personoriented approach are discussed, including the importance of conceptual clarity, practical and theoretical training, and method development.

  • 29.
    Bergström, Sanna
    et al.
    Örebro University, Örebro University School of Business.
    Lönnquist, Anders
    Örebro University, Örebro University School of Business.
    Handedness & Stress resilience - A cross-sectional evaluation of possible relationship2017Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
  • 30.
    Bhatti, Ali
    Örebro University, Örebro University School of Business.
    The relationship between carbon dioxide emissions and Gross Domestics product2013Independent thesis Advanced level (degree of Master (One Year)), 10 credits / 15 HE creditsStudent thesis
  • 31.
    Bing, Mia
    et al.
    Örebro University, Örebro University School of Business.
    Sundling, Lisa
    Örebro University, Örebro University School of Business.
    Holmström, Åsa
    Örebro University, Örebro University School of Business.
    Kasta gris: En strategi för att maximera den förväntade poängsumman i en kastomgång2013Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
    Abstract [sv]

    Kasta gris är ett spel där spelarna tävlar om att komma först till 100 poäng. Två grisformade tärningar kastas och beroende på hur de landar ger de olika poäng, alternativt förlust av poäng. För en spelare som har samlade poäng i en kastomgång innebär ytterligare ett kast en chans att erhålla en högre poängsumma men också en risk att förlora den redan samlade. I denna uppsats vill vi ta reda på vid vilken högsta poängsumma i en kastomgång som spelaren bör välja att fortsätta kasta. Eftersom tärningarna är grisformade och alltså inte symmetriska är sannolikheterna olika för de möjliga utfallen. Att sannolikheterna därtill är okända omöjliggör att beräkna den sökta poängsumman exakt. Vi har genomfört ett eget försök med 10 517 kast uppdelade på tre gristärningspar. Med hjälp av insamlad data och metoder inom sannolikhetslära har vi kunnat skatta de okända sannolikheterna och därmed den sökta poängsumman. För att få ett mått på osäkerheten i vår skattning av den senare har vi använt två metoder inom inferensteorin, Deltametoden och bootstrap. I vårt resultat fann vi att 21, med åtminstone 75 procents säkerhet, är den högsta poängsumma för vilken en spelare bör fortsätta sin kastomgång. Resultatet ger en spelare möjlighet att maximera sin förväntade poäng i en kastomgång men att använda detta som en spelstrategi genom hela spelet är dock ingen garanti för vinst. 

  • 32.
    Biten, Silvana
    et al.
    Örebro University, Örebro University School of Business.
    Gabrail, Gabriell
    Örebro University, Örebro University School of Business.
    Hur påverkas AIK:s aktiekurs av lagets matchresultat på kort sikt?: - en regressionsanalytisk ansats2016Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
  • 33. Bodin Danielsson, Christina
    et al.
    Bodin, Lennart
    Örebro University, Department of Business, Economics, Statistics and Informatics.
    Office type in relation to health, well-being, and job satisfaction among employees2008In: Environment and Behavior, ISSN 0013-9165, E-ISSN 1552-390X, Vol. 40, no 5, 636-668 p.Article in journal (Refereed)
    Abstract [en]

    This article investigates the hypothesis that office type has an influence on workers' health status and job satisfaction and 469 employees in seven different types, defined by their unique setup of architectural and functional features, have rated their health status and job satisfaction. Multivariate regression models were used for analysis of these outcomes, with adjustment for age, gender, job rank, and line of business. Both health status and job satisfaction differed between the seven office types. Lowest health status was found in medium-sized and small open plan offices. Best health was among employees in cell offices and flex offices. Workers in these types of offices and in shared room offices also rated the highest job satisfaction. Lowest job satisfaction was in combi offices, followed by medium-sized open plan offices. The differences between employees could possibly be ascribed to variations in architectural and functional features of the office types.

  • 34.
    Bodin, Lennart
    Örebro University, Swedish Business School at Örebro University. Örebro University Hospital, Örebro, Sweden.
    Evidence-based diagnosis2010In: European Journal of Public Health, ISSN 1101-1262, E-ISSN 1464-360X, Vol. 20, no 1, 120-120 p.Article, book review (Refereed)
  • 35.
    Bodin, Lennart
    et al.
    Örebro University, Swedish Business School at Örebro University.
    Andersson, K.
    Bonlokke, J. H.
    Molhave, L.
    Kjaergaard, S. K.
    Stridh, Göran
    Juto, J. -E
    Sigsgaard, T.
    Nasal hyperresponders and atopic subjects report different symptom intensity to air quality: a climate chamber study2009In: Indoor Air, ISSN 0905-6947, E-ISSN 1600-0668, Vol. 19, no 3, 218-225 p.Article in journal (Refereed)
    Abstract [en]

    Short-term exposure to dust and dust added with beta-(1,3)-d-glucan or aldehydes may cause sensory reactions. In random order, we exposed 36 volunteers in a climate chamber to clean air, office dust, dust with glucan, and dust with aldehydes. Three groups of subjects were exposed, eleven were non-atopic with nasal histamine hyperreactivity, 13 were non-atopic, and 12 were atopic. Subjective ratings of symptoms and general health were registered four times during four 6-h exposure sessions. Six symptom intensity indices were constructed. The nasal hyperreactive group had a high and time-dependent increase of mucous membrane irritations, whereas the atopic group had a low and stable rate of irritations with exposure time, close to the reference group (P = 0.02 for differences between the groups with respect to time under exposure for Weak Inflammatory Responses and P = 0.05 for Irritative Body Perception, significance mainly because of the nasal hyperreactive group). Exposure to dust, with or without glucan or aldehydes, showed increased discomfort measured by the index for Constant Indoor Climate, and dust with glucan had a similar effect for the index for Lower Respiratory Effects. For Psychological and Neurological Effects these were dependent on group affiliation, thus preventing a uniform statement of exposure effects for all three investigated groups.Opportunities for identifying persons with high or low sensitivity to low-level exposures are important in preventive medicine and will reduce intra-group variability and thus increase the power of experimental and epidemiological studies searching for correlations between exposures and health effects. The contrast between nasal hyperreactive on one side and atopic and reference subjects on the other side is particularly important. The atopic group indicated a non-homogenous reaction depending on their hyperreactive status, a finding that could be important but needs further confirmation.

  • 36.
    Bodnar, Taras
    et al.
    Department of Mathematics, Stockholm University, Stockholm, Sweden.
    Mazur, Stepan
    Department of Mathematics, Aarhus University, Aarhus, Denmark.
    Muhinyuza, Stanislas
    Department of Mathematics, Stockholm University, Stockholm, Sweden; Department of Mathematics, College of Science and technology, University of Rwanda, Kigali-Rwanda.
    Parolya, Nestor
    nstitute of Statistics, Leibniz University of Hannover, Hannover, Germany.
    On the product of a singular Wishart matrix and a singular Gaussian vector in high dimensionsManuscript (preprint) (Other academic)
    Abstract [en]

    In this paper we consider the product of a singular Wishart random matrix and a singular normal random vector. A very useful stochastic representation is derived for this product, in using which the characteristic function of the product and its asymptotic distribution under the double asymptotic regime are established. The application of obtained stochastic representation speeds up the simulation studies where the product of a singular Wishart random matrix and a singular normal random vector is present. We further document a good performance of the derived asymptotic distribution within a numerical illustration. Finally, several important properties of the singular Wishart distribution are provided.

  • 37.
    Bodnar, Taras
    et al.
    Department of Mathematics, Stockholm University, Stockholm, Sweden.
    Mazur, Stepan
    Örebro University, Örebro University School of Business. Unit of Statistics.
    Ngailo, Edward
    Department of Mathematics, Stockholm University, Stockholm, Sweden.
    Parolya, Nestor
    Institute of Empirical Economics, Leibniz University of Hannover, Hannover, Germany.
    Discriminant analysis in small and large dimensions2017Manuscript (preprint) (Other academic)
    Abstract [en]

    In this article we study the distributional properties of the linear discriminant function under the assumption of the normality by comparing two groups with the same covariance matrix but different mean vectors. A stochastic representation of the discriminant function coefficient is derived which is then used to establish the asymptotic distribution under the high-dimensional asymptotic regime. Moreover, we investigate the classification analysis based on the discriminant function in both small and large dimensions. In the numerical study, a good finite-sample performance of the derived large-dimensional asymptotic distributions is documented.

  • 38.
    Bodnar, Taras
    et al.
    Department of Mathematics, Stockholm University, Stockholm, Sweden.
    Mazur, Stepan
    Department of Statistics, Lund University, Lund, Sweden.
    Okhrin, Yarema
    Department of Statistics, University of Augsburg, Augsburg, Germany.
    Bayesian estimation of the global minimum variance portfolio2017In: European Journal of Operational Research, ISSN 0377-2217, E-ISSN 1872-6860, Vol. 256, no 1, 292-307 p.Article in journal (Refereed)
    Abstract [en]

    In this paper we consider the estimation of the weights of optimal portfolios from the Bayesian point of view under the assumption that the conditional distributions of the logarithmic returns are normal. Using the standard priors for the mean vector and the covariance matrix, we derive the posterior distributions for the weights of the global minimum variance portfolio. Moreover, we reparameterize the model to allow informative and non-informative priors directly for the weights of the global minimum variance portfolio. The posterior distributions of the portfolio weights are derived in explicit form for almost all models. The models are compared by using the coverage probabilities of credible intervals. In an empirical study we analyze the posterior densities of the weights of an international portfolio. 

  • 39.
    Bodnar, Taras
    et al.
    Department of Mathematics, Humboldt-University of Berlin, Berlin, Germany .
    Mazur, Stepan
    Department of Statistics, Lund University, Lund, Sweden.
    Okhrin, Yarema
    Department of Statistics, University of Augsburg, Augsburg, Germany.
    Distribution of the product of a singular Wishart matrix and a normal vector2014In: Theory of Probability and Mathematical Statistics, ISSN 0094-9000, no 91, 1-15 p.Article in journal (Refereed)
    Abstract [en]

    In this paper we derive a very useful formula for the stochastic representation of the product of a singular Wishart matrix with a normal vector. Using this result, the expressions of the density function as well as of the characteristic function are established. Moreover, the derived stochastic representation is used to generate random samples from the product which leads to a considerable improvement in the computation efficiency. Finally, we present several important properties of the singular Wishart distribution, like its characteristic function and distributional properties of the partitioned singular Wishart matrix. 

  • 40.
    Bodnar, Taras
    et al.
    Department of Mathematics, Humboldt University of Berlin, Berlin, Germany.
    Mazur, Stepan
    Department of Statistics, European University Viadrina, Frankfurt(Oder), Germany.
    Okhrin, Yarema
    Department of Statistics, University of Augsburg, Augsburg, Germany.
    On the exact and approximate distributions of the product of a Wishart matrix with a normal vector2013In: Journal of Multivariate Analysis, ISSN 0047-259X, E-ISSN 1095-7243, Vol. 122, 70-81 p.Article in journal (Refereed)
    Abstract [en]

    In this paper we consider the distribution of the product of a Wishart random matrix and a Gaussian random vector. We derive a stochastic representation for the elements of the product. Using this result, the exact joint density for an arbitrary linear combination of the elements of the product is obtained. Furthermore, the derived stochastic representation allows us to simulate samples of arbitrary size by generating independently distributed chi-squared random variables and standard multivariate normal random vectors for each element of the sample. Additionally to the Monte Carlo approach, we suggest another approximation of the density function, which is based on the Gaussian integral and the third order Taylor expansion. We investigate, with a numerical study, the properties of the suggested approximations. A good performance is documented for both methods. 

  • 41.
    Bodnar, Taras
    et al.
    Department of Mathematics, Stockholm University, Stockholm, Sweden.
    Mazur, Stepan
    Örebro University, Örebro University School of Business. Department of Statistics.
    Parolya, Nestor
    Institute of Statistics, Leibniz University of Hannover, Hannover, Germany.
    Central limit theorems for functionals of large sample covariance matrix and mean vector in matrix-variate location mixture of normal distributionsManuscript (preprint) (Other academic)
    Abstract [en]

    In this paper we consider the asymptotic distributions of functionals of the sample covariance matrix and the sample mean vector obtained under the assumption that the matrix of observations has a matrix-variate location mixture of normal distributions. The central limit theorem is derived for the product of the sample covariance matrix and the sample mean vector. Moreover, we consider the product of the inverse sample covariance matrix and the mean vector for which the central limit theorem is established as well. All results are obtained under the large-dimensional asymptotic regime where the dimension p and the sample size n approach to infinity such that p/n → c ∈ [0, +∞) when the sample covariance matrix does not need to be invertible and p/n → c ∈ [0, 1) otherwise.

  • 42.
    Bodnar, Taras
    et al.
    Department of Mathematics, Stockholm University, Stockholm, Sweden.
    Mazur, Stepan
    Department of Mathematics, Aarhus University, Aarhus, Denmark.
    Podgorski, Krzysztof
    Department of Statistics, Lund University, Lund, Sweden.
    A test for the global minimum variance portfolio for small sample and singular covariance2017In: AStA Advances in Statistical Analysis, ISSN 1863-8171, E-ISSN 1863-818X, Vol. 101, no 3, 253-265 p.Article in journal (Refereed)
    Abstract [en]

    Recently, a test dealing with the linear hypothesis for the global minimum variance portfolio weights was obtained under the assumption of non-singular covariance matrix. However, the problem of potential multicollinearity and correlations of assets constitutes a limitation of the classical portfolio theory. Therefore, there is an interest in developing theory in the presence of singularities in the covariance matrix. In this paper, we extend the test by analyzing the portfolio weights in the small sample case with a singular population covariance matrix. The results are illustrated using actual stock returns and a discussion of practical relevance of the model is presented. 

  • 43.
    Bodnar, Taras
    et al.
    Department of Mathematics, Stockholm University, Stockholm, Sweden.
    Mazur, Stepan
    Department of Statistics, Lund University, Lund, Sweden.
    Podgórski, Krzysztof
    Department of Statistics, Lund University, Lund, Sweden.
    Singular inverse Wishart distribution and its application to portfolio theory2016In: Journal of Multivariate Analysis, ISSN 0047-259X, E-ISSN 1095-7243, Vol. 143, 314-326 p.Article in journal (Refereed)
    Abstract [en]

    The inverse of the standard estimate of covariance matrix is frequently used in the portfolio theory to estimate the optimal portfolio weights. For this problem, the distribution of the linear transformation of the inverse is needed. We obtain this distribution in the case when the sample size is smaller than the dimension, the underlying covariance matrix is singular, and the vectors of returns are independent and normally distributed. For the result, the distribution of the inverse of covariance estimate is needed and it is derived and referred to as the singular inverse Wishart distribution. We use these results to provide an explicit stochastic representation of an estimate of the mean-variance portfolio weights as well as to derive its characteristic function and the moments of higher order. The results are illustrated using actual stock returns and a discussion of practical relevance of the model is presented. 

  • 44.
    Bohl, Martin T.
    et al.
    Department of Economics, Westphalian Wilhelminian University of Münster, Münster, Germany.
    Javed, Farrukh
    Department of Statistics, Lund University, Lund, Sweden.
    Stephan, Patrick M.
    Department of Economics, Westphalian Wilhelminian University of Münster, Münster, Germany.
    Do Commodity Index Traders Destabilize Agricultural Futures Prices?2013In: Applied Economics Quarterly, ISSN 1611-6607, Vol. 59, no 2, 125-148 p.Article in journal (Refereed)
    Abstract [en]

    Motivated by repeated price spikes and crashes over the last decade, we investigate whether the intensive investment activities of commodity index traders (CITs) have destabilized agricultural futures markets. Using a stochastic volatility model, we treat conditional volatility as an unobserved component, and analyze whether it has been affected by the expected and unexpected open interest of CITs. However, with respect to twelve increasingly financialized grain, livestock, and soft commodities, we do not find robust evidence that this is the case. We thus conclude that justifying a tighter regulation of CITs by blaming them for more volatile agricultural futures markets appears to be unwarranted.

  • 45.
    Bohlin, Lars
    Örebro University, Örebro University School of Business.
    Inferens på rangordningar - En Monte Carlo-analys2015Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
  • 46.
    Bordier, Oliver
    et al.
    Örebro University, Örebro University School of Business.
    Lövestedt, Eric
    Örebro University, Örebro University School of Business.
    Utformning av sprinttävlingar i längdskidåkning: - En statistisk jämförelse av åkarnas chanser att nå pallplacering2015Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
  • 47. Boström, P. K.
    et al.
    Broberg, M.
    Bodin, Lennart
    Örebro University, Swedish Business School at Örebro University.
    Child's positive and negative impacts on parents-A person-oriented approach to understanding temperament in preschool children with intellectual disabilities2011In: Journal of Research in Developmental Disabilities, ISSN 0891-4222, E-ISSN 1873-3379, Vol. 32, no 5, 1860-1871 p.Article in journal (Refereed)
    Abstract [en]

    Background: Despite previous efforts to understand temperament in children with intellectual disability (ID), and how child temperament may affect parents, the approach has so far been unidimensional. Child temperament has been considered in relation to diagnosis, with the inherent risk of overlooking individual variation of children's temperament profiles within diagnostic groups. The aim of the present study was to identify temperamental profiles of children with ID, and investigate how these may affect parents in terms of positive and negative impacts. Method: Parent-rated temperament in children with ID was explored through a person-oriented approach (cluster analysis). Children with ID (N = 49) and typically developing (TD) children (N = 82) aged between 4 and 6 years were clustered separately. Results: Variation in temperament profiles was more prominent among children with ID than in TD children. Out of the three clusters found in the ID group, the disruptive, and passive/withdrawn clusters were distinctly different from clusters found in the TD group in terms of temperament, while the cluster active and outgoing was similar in shape and level of temperament ratings of TD children. Children within the disruptive cluster were described to have more negative and less positive impacts on mothers compared to children within the other clusters in the ID group. Conclusions: Mothers who describe their children as having disruptive temperament may be at particular risk for experiencing higher parenting stress as they report that the child has higher negative and lower positive impacts than other parents describe. The absence of a relationship between child temperament profile and positive or negative impact on fathers may indicate that fathers are less affected by child temperament. However, this relationship needs to be further explored. (C) 2011 Elsevier Ltd. All rights reserved.

  • 48.
    Brundin, Robert
    et al.
    Örebro University, Department of Business, Economics, Statistics and Informatics.
    Abrahamsen, Alexander
    Örebro University, Department of Business, Economics, Statistics and Informatics.
    Vad påverkar tiden som en mamma ammar?: -en empirisk studie2006Independent thesis Advanced level (degree of Master (One Year)), 10 credits / 15 HE creditsStudent thesis
    Abstract [sv]

    Syftet med uppsatsen är att försöka förklara vad det är som påverkar tiden som en mamma ammar. För att undersöka vad det är som påverkar tiden som en mamma ammar, har en Zero inflated negative binomial-modell (ZINB-modell) tagits fram. Resultaten visar att det som avgör hur länge en mamma kommer att amma är: Graviditetens längd, mammans ålder, mammans rökvanor under graviditetens sista månader, mammans rökvanor samt mammans nationella ursprung.

  • 49.
    Bååk, Linda
    Örebro University, Swedish Business School at Örebro University.
    Varför gör de på detta viset??: En studie om bakgrundsfaktorerna till alkohol- och tobaksbruk bland ungdomar2009Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
  • 50.
    Calson Öhman, Frida
    et al.
    Örebro University, Örebro University School of Business.
    Lindberg, Mikaela
    Örebro University, Örebro University School of Business.
    Fotbollsklubbars prestationer och deras effekt på aktiekursen: - En statistisk studie om huruvida skillnaden mellan matchresultat och förväntat matchresultat påverkar fotbollsklubbars aktiekurser2016Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
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