Invariant nonnegative minimum norm quadratic estimator of variance components and its application

DOI10.1080/02331889208802360zbMath0810.62051OpenAlexW2013160593MaRDI QIDQ4322929

Zhao Ouyang

Publication date: 6 April 1995

Published in: Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02331889208802360

zbMATH Keywords

orthogonal decompositionclosed convex conevariance components estimationMINQEinvariant nonnegative minimum norm quadratic estimator

Mathematics Subject Classification ID

Estimation in multivariate analysis (62H12) Linear regression; mixed models (62J05) Analysis of variance and covariance (ANOVA) (62J10)

Cites Work

• On nonnegative quadratic unbiased estimability of variance components
• On the existence of unbiased nonnegative estimates of variance covariance components
• Linear models and convex geometry: aspects of non-negative variance estimation¹
• A Note on Separation of Variables
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