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Yasunori Fujikoshi - Multivariate Statistics: High-Dimensional and Large-Sample Approximations - 9780470411698 - V9780470411698
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Multivariate Statistics: High-Dimensional and Large-Sample Approximations

€ 166.30
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Description for Multivariate Statistics: High-Dimensional and Large-Sample Approximations Hardcover. Written by well-known, award-winning authors, this is the first book to focus on high-dimensional data analysis while presenting real-world applications and research material. Series: Wiley Series in Probability and Statistics. Num Pages: 512 pages, Illustrations. BIC Classification: PBT. Category: (UP) Postgraduate, Research & Scholarly. Dimension: 242 x 171 x 36. Weight in Grams: 946.
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 ... Read more

  • 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.

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Product Details

Format
Hardback
Publication date
2010
Publisher
John Wiley & Sons Inc United Kingdom
Number of pages
534
Condition
New
Series
Wiley Series in Probability and Statistics
Number of Pages
568
Place of Publication
New York, United States
ISBN
9780470411698
SKU
V9780470411698
Shipping Time
Usually ships in 7 to 11 working days
Ref
99-50

About Yasunori Fujikoshi
Yasunori Fujikoshi, DSc, is Professor Emeritus at Hiroshima University (Japan) and Visiting Professor in the Department of Mathematics at Chuo University (Japan). He has authored over 150 journal articles in the area of multivariate analysis. Vladimir V. Ulyanov, DSc, is Professor in the Department of Mathematical Statistics at Moscow State University (Russia) and is the author of nearly fifty ... Read more

Reviews for Multivariate Statistics: High-Dimensional and Large-Sample Approximations
"The book is designed for readers interested in multivariate analysis with a good background in matrix algebra, mathematical statistical inference and probability theory. Its contents are, in general, well organised and the intuitive ideas behind the different multivariate methods, the asymptotic expansion techniques and the calculation of error bounds using scale mixtures, are well expressed . The mathematical proofs are ... Read more

Goodreads reviews for Multivariate Statistics: High-Dimensional and Large-Sample Approximations


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