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Multivariate Statistics – High–Dimensional and Large–Sample Approximations: Wiley Series in Probability and Statistics

Autor Y Fujikoshi
en Limba Engleză Hardback – 8 feb 2010
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.
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Specificații

ISBN-13: 9780470411698
ISBN-10: 0470411694
Pagini: 568
Dimensiuni: 156 x 235 x 33 mm
Greutate: 0.93 kg
Editura: Wiley
Seria Wiley Series in Probability and Statistics

Locul publicării:Hoboken, United States

Public țintă

Statisticians interested in multivariate analysis and specialists in probability; graduate–level courses on probability theory in statistics; academic libraries.

Notă biografică

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 journal articles in his areas of research interest, which include weak limit theorems, probability measures on topological spaces, and Gaussian processes. Ryoichi Shimizu, DSc, is Professor Emeritus at the Institute of Statistical Mathe-matics (Japan) and is the author of numerous journal articles on probability distributions.

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