Nonnegativity of admissible invariant quadratic estimates in mixed linear models with two variance components
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Publication:1062395
DOI10.1016/0378-3758(85)90073-4zbMath0572.62057OpenAlexW2026579999MaRDI QIDQ1062395
Jürgen Kleffe, Stanisław Gnot, Roman Zmyślony
Publication date: 1985
Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/0378-3758(85)90073-4
Linear modelsexistence of admissible nonnegative definite quadratic estimatorstwo variance componentsunbalanced one-way random model
Linear regression; mixed models (62J05) Linear inference, regression (62J99) Analysis of variance and covariance (ANOVA) (62J10) Admissibility in statistical decision theory (62C15)
Related Items
On minimum biased quadratic estimators, Consistent nonnegative estimates of variance components, Least squares and generalized least squares in models with orthogonal block structure, Linear and quadratic Estimation from Inter- and Intra-Elock Sources of Information, Nonnegative estimation of variance components in unbalanced mixed models with two variance components, Nonnegative minimum biased quadratic estimation in mixed linear models, Tests Based on Admissible Estimators in Two Variance Components Models
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