Optimality of balanced designs for minimum norm quadratic unbiased estimation of variance components

DOI10.1007/BF02613519zbMath0695.62194MaRDI QIDQ910137

Rahul Mukerjee

Publication date: 1990

Published in: Metrika (Search for Journal in Brave)

Full work available at URL: https://eudml.org/doc/176292

zbMATH Keywords

approximate theory for the optimality of balanced designsminimum norm quadratic unbiased estimation of variance componentsone-way classified data

Mathematics Subject Classification ID

Optimal statistical designs (62K05) Analysis of variance and covariance (ANOVA) (62J10)

Related Items (1)

Robust estimation and design procedures for the random effects model

Cites Work

• Present Position and Potential Developments: Some Personal Views: Design of Experiments and Regression
• Variance Components Analysis: A Selective Literature Survey
• Optimal design for the estimation of variance components
• On Two Measures of Unbalancedness in a One‐Way Model and Their Relation to Efficiency
• A Comparison of Designs and Estimators for the Two-Stage Nested Random Model
• Comparison of Designs to Estimate Variance Components in a Two-Way Classification Model
• Designs for the simultaneous estimation of functions of variance components from two-way crossed classifications
• Linear Statistical Inference and its Applications

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