On confidence intervals for the among-group variance in the one-way random effects model with unequal error variances

DOI10.1016/j.jspi.2003.09.032zbMath1083.62062OpenAlexW2017016292MaRDI QIDQ1888836

Guido Knapp, Joachim Hartung

Publication date: 29 November 2004

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jspi.2003.09.032

zbMATH Keywords

ConvexityAmong-group varianceANOVA-type and ASR-type estimators of variance componentsUnequal error variancesWald-type confidence interval

Mathematics Subject Classification ID

Parametric tolerance and confidence regions (62F25) Analysis of variance and covariance (ANOVA) (62J10)

Related Items (7)

Noninformative priors for the between-group variance in the unbalanced one-way random effects model with heterogeneous error variances ⋮ Inferences on the Among-Group Variance Component in Unbalanced Heteroscedastic One-Fold Nested Design ⋮ Approximate interval for the between-group variance under heteroscedasticity ⋮ Generalised interval estimation in the random effects meta regression model ⋮ Models for Combining Results of Different Experiments: Retrospective and Prospective ⋮ A note on fiducial generalized pivots for in one-way heteroscedastic ANOVA with random effects ⋮ A confidence distribution approach to inferring the among-group variance component in one-way random effects model with unequal error variances

Cites Work

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• Confidence intervals on the among group variance component in the unbalanced one-fold nested design
• Estimators for the One-Way Random Effects Model with Unequal Error Variances
• Approximate Confidence Limits on the Mean of X + Y Where X and Y are Two Tabled Independent Random Variables
• Between group variance component interval estimation for the unbalanced heteroscedastic one-way random effects model
• Confidence intervals for the between group variance in the unbalanced one-way random effects model of anaylsis of variance
• Confidence Intervals for Variance Components -- A Comparative Monte Carlo Study
• An Alternative Method for Meta-Analysis
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