Permutation techniques for analyzing multi-response data from randomized block experiments

DOI10.1080/03610928208828319zbMath0502.62041OpenAlexW2069910560MaRDI QIDQ3968306

Hari K. Iyer, Paul W. jun. Mielke

Publication date: 1982

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610928208828319

zbMATH Keywords

alignmentPearson correlation coefficientmultivariate dataMANOVArandomized block designSpearman rank correlationpermutation techniquesFriedman two-way ANOVAKendall coefficient of concordanceMRPPone-sample matched- pair testsSpearman footrule statistic

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Hypothesis testing in multivariate analysis (62H15) Statistical block designs (62K10) Analysis of variance and covariance (ANOVA) (62J10)

Related Items (5)

On Distance-Based Permutation Tests for Between-Group Comparisons ⋮ A resampling procedure for nonparametric combination of several dependent tests ⋮ Computation of finite population parameters and approximate probability values for multi-response randomized block permutation procedures (mrbp) ⋮ Non-metric statistical analyses: Some metric alternatives ⋮ Statistical applications of linear assignment

Cites Work

• Exact robustness studies of the test of independence based on four multivariate criteria and their distribution problems under violations
• Rank Methods for Combination of Independent Experiments in Analysis of Variance
• On asymptotic non-normality of null distributions of mrpp statistics
• CERTAIN GENERALIZATIONS IN THE ANALYSIS OF VARIANCE
• Some New Test Criteria in Multivariate Analysis

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