Type I error rates, power, and sample sizes for two-stage solutions to the Behrens-Fisher problem when population distributions are non-normal

DOI10.1016/0167-9473(94)90020-5zbMath0937.62620OpenAlexW1997267813MaRDI QIDQ1361518

Wei-Ming Luh, Stephen Olejnik

Publication date: 25 August 1997

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0167-9473(94)90020-5

zbMATH Keywords

non-normalityBehrens-Fisher problemJames-Stein estimatorstype I error rates

Mathematics Subject Classification ID

Linear inference, regression (62J99)

Cites Work

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• A method for simulating non-normal distributions
• The robustness of Stein's two-stage procedure
• A survey of two stage tests of hypotheses: theory and application
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• Robustness of Stein's Two-Stage Procedure for Mixtures of Normal Populations
• Multiple comparisons in model i one-way anova with unequal variances
• Exact Analysis of Variance with Unequal Variances: Test Procedures and Tables
• The Small Sample Behavior of Some Statistics Which Test the Equality of Several Means
• Some two Sample Tests
• Some Theorems on Quadratic Forms Applied in the Study of Analysis of Variance Problems, I. Effect of Inequality of Variance in the One-Way Classification
• A Two-Sample Test for a Linear Hypothesis Whose Power is Independent of the Variance

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