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Multivariate statistics : high-dimensional and large-sample approximations /

A comprehensive examination of high-dimensional analysis of multivariate methods and their real-world applications Multivariate Statistics: High-Dimensional and Large-Sample Approximations is the first book of its kind to explore how classical multivariate methods can be revised and used in place of...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Fujikoshi, Yasunori, 1942-
Otros Autores: Ulyanov, Vladimir V., 1953-, Shimizu, Ryoichi, 1931-
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Hoboken, N.J. : Wiley, ©2010.
Colección:Wiley series in probability and statistics.
Temas:
Acceso en línea:Texto completo

MARC

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245 1 0 |a Multivariate statistics :  |b high-dimensional and large-sample approximations /  |c Yasunori Fujikoshi, Vladimir V. Ulyanov, Ryoichi Shimizu. 
260 |a Hoboken, N.J. :  |b Wiley,  |c ©2010. 
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505 0 |a Front Matter -- Multivariate Normal and Related Distributions -- Wishart Distribution -- Hotelling's T and Lambda Statistics -- Correlation Coefficients -- Asymptotic Expansions for Multivariate Basic Statistics -- MANOVA Models -- Multivariate Regression -- Classical and High-Dimensional Tests for Covariance Matrices -- Discriminant Analysis -- Principal Component Analysis -- Canonical Correlation Analysis -- Growth Curve Analysis -- Approximation to the Scale-Mixted Distributions -- Approximation to Some Related Distributions -- Error Bounds for Approximations of Multivariate Tests -- Error Bounds for Approximations to Some Other Statistics -- Appendix -- Bibliography -- Index -- Wiley Series in Probability and Statistics. 
504 |a Includes bibliographical references and index. 
505 0 |a Multivariate normal and related distributions -- Wishart distribution -- Hotelling's T² and lambda statistics -- Correlation coefficents -- Asymptotic expansions from multivariate basic statistics -- MANOVA models -- Multivariate regression -- Classical and high-dimensional tests for covariance matrices -- Discriminant analysis -- Principal component analysis -- Canonical correlation analysis -- Growth curve analysis --Approximation to the scale-mixted distributions -- Approximation to some related distributions -- Error bounds for approximations of multivariate tests -- Error bounds for approximations to some other statistics -- Appendix. 
588 0 |a Print version record. 
520 |a A comprehensive examination of high-dimensional analysis of multivariate methods and their real-world applications Multivariate Statistics: High-Dimensional and Large-Sample Approximations is the first book of its kind to explore how classical multivariate methods can be revised and used in place of conventional statistical tools. Written by prominent researchers in the field, the book focuses on high-dimensional and large-scale approximations and details the many basic multivariate methods used to achieve high levels of accuracy. The authors begin with a fundamental presentation of the basic. 
506 |a Access restricted to Kwantlen Polytechnic University students, faculty and staff. 
590 |a ProQuest Ebook Central  |b Ebook Central Academic Complete 
650 0 |a Multivariate analysis. 
650 0 |a Approximation theory. 
650 2 |a Multivariate Analysis 
650 6 |a Analyse multivariée. 
650 6 |a Théorie de l'approximation. 
650 7 |a MATHEMATICS  |x Probability & Statistics  |x Multivariate Analysis.  |2 bisacsh 
650 7 |a Approximation theory  |2 fast 
650 7 |a Multivariate analysis  |2 fast 
655 7 |a dissertations.  |2 aat 
655 7 |a Academic theses  |2 fast 
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700 1 |a Ulyanov, Vladimir V.,  |d 1953-  |1 https://id.oclc.org/worldcat/entity/E39PCjCrW3HQhDXykvXKKydjP3 
700 1 |a Shimizu, Ryoichi,  |d 1931-  |1 https://id.oclc.org/worldcat/entity/E39PCjMxxCR9TY9mFqKGq9JGXm 
758 |i has work:  |a Multivariate statistics (Text)  |1 https://id.oclc.org/worldcat/entity/E39PCFXfh6mG7M9kBkwTBM6kDq  |4 https://id.oclc.org/worldcat/ontology/hasWork 
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