Robust and powerful nonorthogonal analyses

DOI10.1007/BF02294383zbMath0863.62069OpenAlexW2029862852MaRDI QIDQ676492

H. J. Keselman, Lisa M. Lix, Keumhee Chough Carrière

Publication date: 18 March 1997

Published in: Psychometrika (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/bf02294383

zbMATH Keywords

model comparisonsnonorthogonal designsrobust and powerful solutionWelch-James procedure

Mathematics Subject Classification ID

Hypothesis testing in multivariate analysis (62H15) Factorial statistical designs (62K15)

Related Items (3)

Analysis of unbalanced factorial designs with heteroscedastic data ⋮ Comparison of nonparametric analysis of variance methods: A vote for van der Waerden ⋮ Robust nonorthogonal analyses revisited: An update based on trimmed means

Uses Software

• SAS
• SAS/STAT

Cites Work

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• The Welch-James approximation to the distribution of the residual sum of squares in a weighted linear regression
• Limitations of the rank transform statistic in tests for interactions
• Some non-parametric tests for analysing ranked data in multi-group repeated measures designs
• Small-sample behavior of weighted least squares in experimental design applications
• Counterexamples in unbalanced two-way analysis of variance
• Some Views on Parametric and Non-Parametric Analysis for Repeated Measurements and Selected Bibliography
• Limitations of the Rank Transform Procedure: A Study of Repeated Measures Designs, Part I
• Rank Procedures for the Two-Factor Mixed Model
• 372: The Anova and Multiple Comparisons for Data with Heterogeneous Variances
• A Full Rank Analysis of Some Linear Model Problems
• The Use of the R()-Notation with Unbalanced Data
• Methods of Analysis of Linear Models with Unbalanced Data
• Analysing multivariate repeated measures designs when covariance matrices are heterogeneous
• The Small Sample Behavior of Some Statistics Which Test the Equality of Several Means
• THE COMPARISON OF SEVERAL GROUPS OF OBSERVATIONS WHEN THE RATIOS OF THE POPULATION VARIANCES ARE UNKNOWN
• ON THE COMPARISON OF SEVERAL MEAN VALUES: AN ALTERNATIVE APPROACH

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