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Global testing method for clustering means in ANOVA

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Publication:397228
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DOI10.1016/j.jkss.2013.11.003zbMath1306.62172OpenAlexW1992813003MaRDI QIDQ397228

Xingzhong Xu, Li Wang

Publication date: 11 August 2014

Published in: Journal of the Korean Statistical Society (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jkss.2013.11.003


zbMATH Keywords

partitionANOVAmultiple comparisonsglobal testing


Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Hypothesis testing in multivariate analysis (62H15) Analysis of variance and covariance (ANOVA) (62J10) Paired and multiple comparisons; multiple testing (62J15)




Cites Work

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  • New multiple testing method under no dependency assumption, with application to multiple comparisons problem
  • False discovery rate control for non-positively regression dependent test statistics
  • On Grouping for Maximum Homogeneity
  • A Cluster Analysis Method for Grouping Means in the Analysis of Variance
  • Cluster Formation as a Measure of Interpretability in Multiple Testing
  • A Procedure for Testing the Homogeneity of All Sets of Means in Analysis of Variance
  • THE DISTRIBUTION OF RANGE IN SAMPLES FROM A NORMAL POPULATION, EXPRESSED IN TERMS OF AN INDEPENDENT ESTIMATE OF STANDARD DEVIATION
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