LINEAR CHOLESKY DECOMPOSITION OF COVARIANCE MATRICES IN MIXED MODELS WITH CORRELATED RANDOM EFFECTS

Anasu Rabe (), D. K. Shangodoyin () and K. Thaga ()
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Anasu Rabe: Department of Mathematics and Computer Science, Umaru Musa ’Yaradua University, PMB 2218, Dutsinma Road, Katsina, Katsina State, Nigeria
D. K. Shangodoyin: Department of Statistics, University of Botswana, Corner of Notwane and Mobuto Road, Pvt Bag 00706, Gaborone, Botswana
K. Thaga: Department of Statistics, University of Botswana, Corner of Notwane and Mobuto Road, Pvt Bag 00706, Gaborone, Botswana

Statistics in Transition New Series, 2019, vol. 20, issue 4, 59-70

Abstract: Modelling the covariance matrix in linear mixed models provides an additional advantage in making inference about subject-specific effects, particularly in...

Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:exl:29stat:v:20:y:2019:i:4:p:59-70

DOI: 10.21307/stattrans-2019-034

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