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Fujikoshi, Yasunori

Multivariate Statistics: High-Dimensional and Large-Sample Approximations

Fujikoshi, Yasunori - Multivariate Statistics: High-Dimensional and Large-Sample Approximations, e-kirja

103,60€

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ISBN: 9780470539866
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Tulostus154 sivua ja lisä sivu kertyy joka 5. tunti, ylärajana 154 sivua
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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 tools and exact distributional results of multivariate statistics, and, in addition, the derivations of most distributional results are provided. Statistical methods for high-dimensional data, such as curve data, spectra, images, and DNA microarrays, are discussed. Bootstrap approximations from a methodological point of view, theoretical accuracies in MANOVA tests, and model selection criteria are also presented. Subsequent chapters feature additional topical coverage including:

  • High-dimensional approximations of various statistics
  • High-dimensional statistical methods
  • Approximations with computable error bound
  • Selection of variables based on model selection approach
  • Statistics with error bounds and their appearance in discriminant analysis, growth curve models, generalized linear models, profile analysis, and multiple comparison

Each chapter provides real-world applications and thorough analyses of the real data. In addition, approximation formulas found throughout the book are a useful tool for both practical and theoretical statisticians, and basic results on exact distributions in multivariate analysis are included in a comprehensive, yet accessible, format.

Multivariate Statistics is an excellent book for courses on probability theory in statistics at the graduate level. It is also an essential reference for both practical and theoretical statisticians who are interested in multivariate analysis and who would benefit from learning the applications of analytical probabilistic methods in statistics.

Avainsanat: Multivariate Analysis

Tekijä(t)
 
 
Julkaisija
John Wiley and Sons, Inc.
Julkaisuvuosi
2010
Kieli
en
Painos
1
Sarja
Wiley Series in Probability and Statistics
Sivumäärä
512 sivua
Kategoria
Eksaktit luonnontieteet
Tiedostomuoto
E-kirja
eISBN (PDF)
9780470539866
Painetun ISBN
9780470411698

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