Results 171 to 180 of about 2,619,530 (217)
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Statistics of Multivariate Extremes
International Statistical Review / Revue Internationale de Statistique, 1990Summary: 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.
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Multivariate Statistical Methods
Technometrics, 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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Multivariate statistics: Considerations and confidences in food authenticity problems
Food Control, 2019Modern analytical measurement technologies, such as infrared, NMR, mass spectrometry and chromatography, provide a wealth of information on the chemical composition of all kinds of samples.
E. Kemsley, M. Defernez, F. Marini
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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
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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
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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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SPSS Data Analysis for Univariate, Bivariate, and Multivariate Statistics
, 2018This concise and very easy-to-use primer introduces readers to a host of computational tools useful for making sense out of data, whether that data come from the social, behavioral, or natural sciences.
D. Denis
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Multivariate Statistical Analysis
Psychophysiology, 1973ABSTRACTGeneral 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, 1989Univariate 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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Mass spectral differentiation of positional isomers using multivariate statistics
Forensic Chemistry, 2018Mass spectral analysis is considered to be a confirmatory method of analysis for the purpose of identifying controlled substances. However, the spectra of positional isomers are generally too visually similar to allow for differentiation.
J. Bonetti
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