Statistical inference of a stochastically restricted linear mixed model.

Autor: Güler, Nesrin, Büyükkaya, Melek Eriş
Zdroj: AIMS Mathematics; 2023, Vol. 8 Issue 10, p24401-24417, 17p
Abstrakt: This article compares a predictor with the best linear unbiased predictor (BLUP) for a unified form of all unknown parameters under a stochastically restricted linear mixed model (SRLMM) in terms of the mean squared error matrix (MSEM) criterion. The methodology of block matrix inertias and ranks is employed to compare the MSEMs of these predictors. The comparison results are also demonstrated for a linear mixed model with and without an exact restriction, as well as special cases of the unified form of all unknown parameters in the SRLMM. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index