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Multivariate Statistical Simulation [PDF]
Univariate Distributions and Their Generation. Multivariate Generation Techniques. Multivariate Normal and Related Distributions. Johnson's Translation System. Elliptically Contoured Distributions. Circular, Spherical and Related Distributions. Khintchine Distributions. Miscellaneous Distributions. Research Directions. References.
Mark E. Johnson, G. A. Young
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Multivariate Statistical Analysis
2014The Encyclopedia: - represents the first comprehensive reference work on scientific and other scholarly research on the quality of life - covers the subject of quality-of-life from a multi disciplinary perspective - includes the behavioral and social sciences as well as health and healthcare Encyclopedia's Keywords: Happiness - Health - Patient ...
MAGGINO, FILOMENA, M. Fattore
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Multivariate Statistical Methods
American Journal of Roentgenology, 2005This is the 20th in the series designed by the American College of Radiology (ACR), the Canadian Association of Radiologists, and the American Journal of Roentgenology. The series, which will ultimately comprise 22 articles, is designed to progressively educate radiologists in the methodologies of rigorous clinical research, from the most basic ...
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An Introduction to Multivariate Statistics
The Canadian Journal of Psychiatry, 1993The more commonly known statistical procedures, such as the t-test, analysis of variance, or chi-squared test, can handle only one dependent variable (DV) at a time. Two types of problems can arise when there is more than one DV: I. a greater probability of erroneously concluding that there is a significant difference between the groups when in fact ...
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Multivariate Statistical Analysis
Psychophysiology, 1973ABSTRACTGeneral multivariate statistical theory and three statistical models (multiāvariate analysis of variance, canonical correlation analysis, and factor analysis) are described. Numerical examples, mathematical notes, an annotated bibliography, and references to computer programs are presented.
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Multivariate Statistical Techniques
2003This paper serves as an overview of various multivariate statistical techniques that can be used to analyse and describe survey datasets. Such analyses are useful for gaining a better understanding of results and the interpretation thereof. In particular this paper evaluates some of the standard statistical techniques that can be used to analyse ...
Pauw, Kalie, Pauw, Kalie
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The Multivariate Portmanteau Statistic
Journal of the American Statistical Association, 1980Abstract Box and Pierce have derived a goodness-of-fit test, the portmanteau test, for univariate autoregressive moving-average (ARMA) time series models. This test is here extended to multivariate ARMA models; the test statistic may be conveniently expressed as a function of the covariances between the residuals of the fitted model. A modified form of
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Multivariate Environmental Statistics.
Biometrics, 1995Preface. Multivariate environmental statistics in agriculture (V. Barnett). A study of the relationship between diversity indices of Benthic communities and heavy metal concentrations of northwest Atlantic sediments (N.C. Bolgiano, R.N. Reid, G.P. Patil). Multivariate non-normal statistics in site characterization and evaluation (J.H. Carson, Jr., A.K.
Ganapati P. Patil+2 more
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Multivariate Statistical Inference.
Journal of the Royal Statistical Society. Series A (General), 1974D. G. Kabe, R. L. Holder, R. P. Gupta
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Communications in Statistics - Theory and Methods, 1984
Classical order statistics are generalized to random samples from continuous multivariate distributions.
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Classical order statistics are generalized to random samples from continuous multivariate distributions.
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