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.
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52 |
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.
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An application of multivariate statistical methods in developing operational usage patterns of US Army vehiclesMedlock, Randall Brannon 05 1900 (has links)
No description available.
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54 |
The use of operating characteristic curves in the validation of the assumption of multivariate normality and determination of sample sizeHelton, Dwight Antonio 08 1900 (has links)
No description available.
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55 |
A methodology to establish the criticality of attributes in operational testsWilliams, Gary Steven 12 1900 (has links)
No description available.
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An application of multivariate discriminant analysis and classification procedures to risk assessment in operational testingSimms, Edward Dewey 08 1900 (has links)
No description available.
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57 |
Nonparametric multivariate quality controlBush, Helen Meyers 08 1900 (has links)
No description available.
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58 |
An application of multivariate statistical techniques to the analysis of the operational effectiveness of a military forceBaird, James Thomas 05 1900 (has links)
No description available.
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59 |
Aspects of multivariate control chartsAlt, Francis Bernard 12 1900 (has links)
No description available.
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60 |
A methodology for determining the power of MANOVA when the observations are serially correlatedEyrich, Norviel Robert 12 1900 (has links)
No description available.
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