On Information Matrices for Fixed and Random Parameters in Generally Balanced Experimental Block Designs

  • Barbara Bogacka
Conference paper
Part of the Contributions to Statistics book series (CONTRIB.STAT.)

Abstract

Information matrices are arguments of most of optimality criteria defined under fixed linear models and also for fixed effects in mixed linear models. However, in the context of mixed models interest often lies on variances of random effects as well as on fixed effects. In the paper the forms and some properties of the information matrix for fixed treatment parameters and for strata variances, in case of generally balanced block designs, are shown. A short discussion on optimality criteria is also presented.

Keywords

Covariance Stratification Cali 

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Copyright information

© Springer-Verlag Berlin Heidelberg 1995

Authors and Affiliations

  • Barbara Bogacka
    • 1
  1. 1.Department of Mathematical and Statistical MethodsAgricultural University of PoznańPoznańPoland

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