MELEK ERİŞ BÜYÜKKAYA, NESRİN GÜLER

Estimation of subparameters by IPM method

Bu çalışmada, X1B1 ve X2B2 alt parametrelerinin en iyi lineer yansız tahmin edicilerini (BLUE' larını) belirlemek için bir M ={y,XB,V} = {y,X1B1 + X2B2,V} genel parçalanmış lineer modeli ele alınmıştır. Temel BLUE denkleminden elde edilen simetrik blok parçalanmış matrisin bir genelleştirilmiş tersine dayanan parçalanmış matris tersi (IPM) yöntemi kullanılarak alt parametrelerin BLUE' ları ile ilgili bazı sonuçlar verilmiştir.

IPM yöntemi ile alt parametrelerin tahmini

In this study, a general partitioned linear model M = {y,XB,V} = {yX1B1 + X2B2,V} is considered to determine the best linear unbiased estimators (BLUEs) of subparameters X1 B1 and X2 B2. Some results are given related to the BLUEs of subparameters by using the inverse partitioned matrix (IPM) method based on a generalized inverse of a symmetric block partitioned matrix which is obtained from the fundamental BLUE equation.

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