On the characterization of nonegatively estimable linear combinations of variance components

DOI10.1080/02331888708802011zbMath0624.62071OpenAlexW2072494684MaRDI QIDQ3026085

Thomas Mathew

Publication date: 1987

Published in: Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02331888708802011

zbMATH Keywords

MINQUEreparametrizationquadratic subspacecharacterizations of nonnegatively estimable linear combinations of variance componentssubspaces preserving nonnegative definiteness

Mathematics Subject Classification ID

Estimation in multivariate analysis (62H12) Analysis of variance and covariance (ANOVA) (62J10)

Cites Work

• Unnamed Item
• On nonnegative quadratic unbiased estimability of variance components
• Nonnegative unbiased estimability of linear combinations of two variance components
• Schur complements and statistics
• On the existence of unbiased nonnegative estimates of variance covariance components
• Nonnegative minimum biased invariant estimation in variance component models
• Quadratic estimation in mixed linear models with two variance components
• On Non-Negative Quadratic Unbiased Estimation of Variance Components
• Linear models and convex geometry: aspects of non-negative variance estimation¹
• Three modifications of the principle of the minque
• Estimation of variance and covariance components—MINQUE theory
• Estimation of Variance and Covariance Components in Linear Models
• Linear Statistical Inference and its Applications

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