A power study of a rank transform for the two‐way classification model when interaction may be present

DOI10.2307/3314695zbMath0374.62068OpenAlexW1983509955WikidataQ59700163 ScholiaQ59700163MaRDI QIDQ4151607

Ronald L. Iman

Publication date: 1974

Published in: Canadian Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.2307/3314695

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Analysis of variance and covariance (ANOVA) (62J10)

Related Items (14)

Properties of the rank transformation in factorial analysis of covariance ⋮ An empirical study of the type I error rate and power for some selected normal-theory and nonparametric tests of the independence of two sets of variables ⋮ The glm log-rank test:general linear modeling of log-rank scores as a method of analysis for survival data ⋮ Tests for equality of dispersion in divariate samples- review and empirical comparison ⋮ A comparative study of some rank tests for interaction ⋮ A rank-based goodness-of-fit approach to testing for non-additivity in the two-way layout with no replications ⋮ An investigation of the rank transformation in multiple regression. ⋮ The rank transformation as a method of discrimination with some examples ⋮ Some empirical results on the two-way analysis of variance by ranks ⋮ The rank transform in the two-sample location problem ⋮ A generalization of the rank transform in the two-sample location problem ⋮ Rank‐based test procedures for interaction in the two‐way layout with one observation per cell ⋮ Nonparametric rank based main effects test procedures for the two-way layout in the presence of interaction ⋮ Rank tests for the 2\(\times 2\) split plot design

Cites Work

• A Note on the Generation of Random Normal Deviates
• The asymptotic efficiency of the χ r 2 -test for a balanced incomplete block design
• Rank Methods for Combination of Independent Experiments in Analysis of Variance
• Asymptotic Efficiency of Certain Rank Tests for Comparative Experiments
• On a Class of Conditionally Distribution-Free Tests for Interactions in Factorial Experiments
• Some Comparisons of the Method of Moments and the Method of Maximum Likelihood in Estimating Parameters of a Mixture of Two Normal Densities
• Use of Ranks in One-Criterion Variance Analysis

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