Bayes unbiased estimation in a model with three variance components. (English) Zbl 0689.62026

Stuchlý, Jaroslav

Apl. Mat. 34, No. 5, 375-386 (1989).

Summary: Necessary and sufficient conditions for an existence and an explicit expression for the Bayes invariant quadratic unbiased estimate of a linear function of variance components are presented for the mixed linear model \[ t=X\beta +\epsilon,\quad E(t)=X\beta,\quad Var(t)=\theta_ 1U_ 1+\theta_ 2U_ 2+\theta_ 3U_ 3, \] with three unknown variance components in the normal case. An application to some examples from the analysis of variance is given.

MSC:

62F15	Bayesian inference
62H12	Estimation in multivariate analysis
62J10	Analysis of variance and covariance (ANOVA)
62J99	Linear inference, regression

Keywords:

Necessary and sufficient conditions for an existence; Bayes invariant quadratic unbiased estimate; linear function of variance components; mixed linear model; three unknown variance components; normal case

References:

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