Spelling suggestions: "subject:"correlation (estatistics)"" "subject:"correlation (cstatistics)""
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A study of procedures to examine correlation pattern hypotheses under conditions of multivariate normality and nonnormalityFouladi, Rachel Tanya 11 1900 (has links)
A wide array of procedures have been proposed for testing correlation pattern. Many, but
not all, of the statistical techniques available for testing correlation pattern are derived under the
distributional condition of multivariate normality which does not always hold in the behavioral,
educational and social sciences. Though a number of studies have explored the performance of
structure analysis techniques under conditions of multivariate nonnormality, very little is known
about the actual performance of many correlation structure analysis techniques under conditions
of multivariate nonnormality. In addition, very little is known about the actual concurrent
performance of tests of multivariate normality.
The present investigation ascertains how tests of correlation pattern hypotheses and
indicators of multivariate normality perform when data are from multivariate normal or nonnormal
parent populations. This paper reviews and examines, using a Monte Carlo simulation study, the
concurrent performance of different approaches to testing (1) correlation pattern hypotheses,
including, (i) normal theory (NT) and asymptotically distribution free (ADF) covariance structure
analysis techniques, (ii) NT and ADF correlation structure analysis techniques, (iii) correlation
pattern specific techniques; (2) the distributional assumption of multivariate normality using
statistics based on Mardia's measures of multivariate skewness and kurtosis. This paper also
examines the performance characteristics of test procedures based on joint consideration of tests
of multivariate normality and structure analysis techniques. Performance of the covariance and
correlation structure analysis techniques, tests of multivariate normality, and joint test procedures
was assessed across different types of correlation pattern models, numbers of variables, levels of
skew and kurtosis, sample sizes, and nominal alpha levels, on the primary Neyman-Pearson
criterion for an optimal test, according to which an optimal procedure (1) controls
experimentwise Type I error rate at or below the nominal level, (2) maximizes power. / Arts, Faculty of / Psychology, Department of / Graduate
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Equalities and inequalities for canonical correlation coefficients, with emphasis on the two-way layout of experimental designLatour, Dominique January 1987 (has links)
No description available.
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On multiple correlation and its generalizationsSampson, George Theodore. January 1983 (has links)
No description available.
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A scale-invariant model for the three-mode factor analysis.January 1983 (has links)
by Wai-kwan Fong. / Bibliography: leaves 37-39 / Thesis (M.Phil.) -- Chinese University of Hong Kong, 1983
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On sampling from compound populationsBrown, George M. January 1900 (has links)
Thesis (Ph. D.)--University of Michigan, 1934. / Lithoprinted. "Reprinted from the Annals of Mathematical Statistics, November, 1933."
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A two-pronged approach to improve distant homology detectionLee, Marianne M. January 2009 (has links)
Thesis (Ph. D.)--Ohio State University, 2009. / Title from first page of PDF file. Includes bibliographical references (p. 91-100).
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Compositional data analysis of voting patterns陳志昌, Chan, Chee-cheong. January 1993 (has links)
published_or_final_version / Applied Statistics / Master / Master of Social Sciences
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Error analysis of correlation estimatesFoiles, Carl Luther, 1935- January 1960 (has links)
No description available.
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Correlations among certain grammar school subjectsAllen, Ruth Weyer, 1913- January 1941 (has links)
No description available.
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Making Gene Sets More CoherentMahdavifard, Fariba Unknown Date
No description available.
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