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Multivariate statistics

2015
This article considers some classical and more modern results obtained in random matrix theory (RMT) for applications in statistics. In the classic paradigm of parametric statistics, data are generated randomly according to a probability distribution indexed by parameters.
Wolfgang Karl Härdle, Zdeněk Hlávka
openaire   +2 more sources

Multivariate Statistical Analysis

Psychophysiology, 1973
ABSTRACTGeneral multivariate statistical theory and three statistical models (multi‐variate 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 Simulation

Biometrics, 1989
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.
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Statistics of Multivariate Extremes

International Statistical Review / Revue Internationale de Statistique, 1990
Summary: The paper is concerned with statistical aspects of multivariate extreme value distributions. The family is infinite dimensional, so direct parametric estimation is not possible. We describe such nonparametric and parametric approaches, the latter being based on parametric subfamilies.
Smith, R. L., Tawn, J. A., Yuen, H. K.
openaire   +1 more source

Multivariate Statistical Inference.

Journal of the Royal Statistical Society. Series A (General), 1974
D. V. Gokhale, D. G. Kabe, R. P. Gupta
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Multivariate Statistics

2010
Yasunori Fujikoshi   +2 more
openaire   +1 more source

Multivariate Statistics

2016
Tilo Wendler, Sören Gröttrup
openaire   +2 more sources

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