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Symmetric Functionals on Random Matrices and Random Matchings Problems / by Grzegorz Rempala, Jacek Wesolowski
(The IMA Volumes in Mathematics and its Applications. ISSN:21983224 ; 147)

1st ed. 2008.
出版者 (New York, NY : Springer New York : Imprint: Springer)
出版年 2008
本文言語 英語
大きさ XIV, 184 p : online resource
著者標目 *Rempala, Grzegorz author
Wesolowski, Jacek author
SpringerLink (Online service)
件 名 LCSH:Mathematics
LCSH:Statistics 
LCSH:Telecommunication
FREE:Applications of Mathematics
FREE:Statistical Theory and Methods
FREE:Communications Engineering, Networks
一般注記 Basic Concepts -- Properties of P-statistics -- Asymptotics for Random Permanents -- Weak Convergence of Permanent Processes -- Weak Convergence of P-statistics -- Permanent Designs and Related Topics -- Products of Partial Sums and Wishart Determinants
This book is drawn from the recent literature on the asymptotic behavior of random permanents and random matchings. In particular, the authors present an elegant connection between the problem of an asymptotic behavior for a certain family of functionals on random matrices and the asymptotic results in the classical theory of the so-called U-statistics -- objects of fundamental importance in the non-parametric statistical inference. This book is self-contained and accessible to any mathematics, statistics or engineering graduate student who has taken basic introductory courses in probability theory and mathematical statistics. Dr.Grzegorz A. Rempala is a Professor of Statistics in the Department of Mathematics at the University of Louisville in Louisville, KY. Dr. Jacek Wesolowski is a Professor of Mathematics and Associate Dean for Research at the Faculty of Mathematics and Information Science, Warsaw University of Technology in Warsaw, Poland. The volume is a result of the authors’ collaborative effort initiated at the IMA during the Institute's 2003/04 annual program on "Probability and Statistics in Complex Systems: Genomics, Networks, and Finance Engineering"
HTTP:URL=https://doi.org/10.1007/978-0-387-75146-7
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Springer eBooks 9780387751467
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EB00226776

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データ種別 電子ブック
分 類 LCC:T57-57.97
DC23:519
書誌ID 4000117318
ISBN 9780387751467

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