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Estimation equations for multivariate linear models with Kronecker structured covariance matrices
Department of Mathematical and Statistical Methods, Poznan University of Life Sciences, Poznan, Poland.
School of Business Information, Shanghai University of International Business and Economics, Shanghai, China.
Statistics Sweden, Stockholm, Sweden.ORCID iD: 0000-0001-6581-7570
Department of Energy and Technology, Swedish University of Agricultural Sciences, Uppsala, Sweden; Department of Mathemathics, Linköping University, Linköping, Sweden.
2017 (English)In: Communications in Statistics - Theory and Methods, ISSN 0361-0926, E-ISSN 1532-415X, Vol. 46, no 16, p. 7902-7915Article in journal (Refereed) Published
Place, publisher, year, edition, pages
Taylor & Francis, 2017. Vol. 46, no 16, p. 7902-7915
Keywords [en]
Compound symmetric structure, Kronecker product, matrix derivatives, maximum-likelihood estimation
National Category
Probability Theory and Statistics
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URN: urn:nbn:se:oru:diva-70264DOI: 10.1080/03610926.2016.1165852ISI: 000405910600009Scopus ID: 2-s2.0-85018805881OAI: oai:DiVA.org:oru-70264DiVA, id: diva2:1264762
Available from: 2018-11-21 Created: 2018-11-21 Last updated: 2020-09-03Bibliographically approved

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Liang, Yuli

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