A note on the effect of simple equicorrelation in detecting a spurious multivariate observation

DOI10.1080/03610928708829420zbMath0655.62030OpenAlexW2118782778MaRDI QIDQ3802407

Virgil R. Marco, Dean M. Young, Danny W. Turner

Publication date: 1987

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

Full work available at URL: https://doi.org/10.1080/03610928708829420

zbMATH Keywords

robustnessoutlierequicorrelationGrubbs proceduremaximum squared radii-test

Mathematics Subject Classification ID

Multivariate distribution of statistics (62H10) Hypothesis testing in multivariate analysis (62H15) Robustness and adaptive procedures (parametric inference) (62F35)

Related Items (5)

Independence-distribution-preserving dependency structures for the modified likelihood ratio test for detecting unequal covariance matrices ⋮ Independence distribution preserving joint covariance structures for the multivariate two-group case ⋮ A characterization of nonnegative-definite independence distribution-preserving covariance structures for the maximum squared-radii statistic ⋮ Conditions for invariance of the multivariate versions of Grubb's test and Bartlett's test under a general dependency structure ⋮ A characterization of the independence - distribution - preserving covariance structure for the multivariate maximum squared - radii statistic

Cites Work

• Effects of Intraclass Correlation on Weighted Averages
• A note on the rubustness of the lilliefors test for univariate normality with respect to equicorrelated data
• Test procedures in coyariamce analysis assuming a general correlation pattern
• Determining the effects of intraclass correlation on factorial experiments
• Effect of equicorrelation in detecting a spurious observation
• Effect of Intraclass Correlation on Confidence Coefficients of Confidence Sets Based on Chi-Square Statistics
• Effect of correlation on the estimation of a mean in the presence of spurious observations
• Sample Criteria for Testing Outlying Observations
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