Title of article :
Least squares and generalized least squares in models with orthogonal block structure
Author/Authors :
Fonseca، نويسنده , , Miguel and Tiago Mexia، نويسنده , , Jo?o and Zmy?lony، نويسنده , , Roman، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2010
Abstract :
Besides the basic model, Kronecker products of rotated models are used to isolate the variance components as parameters of a linear model. A characterization of BLUE given by Zmyślony (1980) is applied to the different models. Generalized least squares are used to complete the estimation.
Keywords :
Linear mixed models , Orthogonal block structure , variance components , Inference
Journal title :
Journal of Statistical Planning and Inference
Journal title :
Journal of Statistical Planning and Inference
