Upper bounds for the Euclidean distances between the BLUPs

In this article we consider the general linear model {y, X ß, V} where y is the observable random vector with expectation X ß and covariance matrix V. Our interest is on predicting the unobservable random vector y* which comes from y* = X* ß + ƹ* where the expectation of y* isX* ß and the covariance...

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Bibliographic Details
Main Authors: Markiewicz Augustyn, Puntanen Simo
Format: Article
Language:English
Published: De Gruyter 2018-06-01
Series:Special Matrices
Subjects:
Online Access:https://doi.org/10.1515/spma-2018-0020