Non-negative estimation of variance components in heteroscedastic one-way random-effects ANOVA models

DOI10.1080/02331880903237106zbMath1291.62139OpenAlexW2082223437MaRDI QIDQ5402489

Dietrich von Rosen, Thomas Mathew, Bimal Kumar Sinha, Tatjana Nahtman

Publication date: 14 March 2014

Published in: Statistics (Search for Journal in Brave)

Full work available at URL: http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-7232

zbMATH Keywords

variance component estimationrandom parameterssmallest MSEunbalanced one-way model

Mathematics Subject Classification ID

Point estimation (62F10) Analysis of variance and covariance (ANOVA) (62J10)

Related Items (1)

A note on fiducial generalized pivots for in one-way heteroscedastic ANOVA with random effects

Cites Work

• On exact confidence intervals for the common mean of several normal populations
• Inadmissibility of the usual estimator for the variance of a normal distribution with unknown mean
• On Non-Negative Quadratic Unbiased Estimation of Variance Components
• Estimation of a Common Mean and Weighted Means Statistics
• A Unified Approach to the Approximation of Multivariate Densities
• Estimators for the One-Way Random Effects Model with Unequal Error Variances
• Maximum Likelihood Approaches to Variance Component Estimation and to Related Problems
• Improved Nonnegative Estimation of Variance Components in Some Mixed Models with Unbalanced Data
• Exact Confidence Intervals for the Common Mean of Several Normal Populations
• Maximum Likelihood Analysis for Heteroscedastic One‐Way Random Effects ANOVA in Interlaboratory Studies
• The Combination of Estimates from Different Experiments

This page was built for publication: Non-negative estimation of variance components in heteroscedastic one-way random-effects ANOVA models