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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
51

The exact percentage points for the likelihood ratio test criteria for testing sphericity in the multinormal case/

Samborsky, William January 1974 (has links)
No description available.
52

A study of procedures to examine correlation pattern hypotheses under conditions of multivariate normality and nonnormality

Fouladi, 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.
53

An application of multivariate statistical methods in developing operational usage patterns of US Army vehicles

Medlock, Randall Brannon 05 1900 (has links)
No description available.
54

The use of operating characteristic curves in the validation of the assumption of multivariate normality and determination of sample size

Helton, Dwight Antonio 08 1900 (has links)
No description available.
55

A methodology to establish the criticality of attributes in operational tests

Williams, Gary Steven 12 1900 (has links)
No description available.
56

An application of multivariate discriminant analysis and classification procedures to risk assessment in operational testing

Simms, Edward Dewey 08 1900 (has links)
No description available.
57

Nonparametric multivariate quality control

Bush, Helen Meyers 08 1900 (has links)
No description available.
58

An application of multivariate statistical techniques to the analysis of the operational effectiveness of a military force

Baird, James Thomas 05 1900 (has links)
No description available.
59

Aspects of multivariate control charts

Alt, Francis Bernard 12 1900 (has links)
No description available.
60

A methodology for determining the power of MANOVA when the observations are serially correlated

Eyrich, Norviel Robert 12 1900 (has links)
No description available.

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