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Computation of Multivariate Normal and t Probabilities / by Alan Genz, Frank Bretz
(Lecture Notes in Statistics. ISSN:21977186 ; 195)

1st ed. 2009.
出版者 (Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer)
出版年 2009
本文言語 英語
大きさ VIII, 126 p : online resource
著者標目 *Genz, Alan author
Bretz, Frank author
SpringerLink (Online service)
件 名 LCSH:Mathematical statistics -- Data processing  全ての件名で検索
LCSH:Statistics 
FREE:Statistics and Computing
FREE:Statistical Theory and Methods
一般注記 Introduction -- Special Cases -- Methods That Approximate the Problem -- Methods That Approximate the Integral -- Further Topics: Linear Inequality Constraints -- Singular Distributions -- Singular Distributions -- Numerical Tests -- Software Implementations -- Applications -- Description of the R Functions -- Description of the MATLAB Functions
Multivariate normal and t probabilities are needed for statistical inference in many applications. Modern statistical computation packages provide functions for the computation of these probabilities for problems with one or two variables. This book describes recently developed methods for accurate and efficient computation of the required probability values for problems with two or more variables. The book discusses methods for specialized problems as well as methods for general problems. The book includes examples that illustrate the probability computations for a variety of applications
HTTP:URL=https://doi.org/10.1007/978-3-642-01689-9
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Springer eBooks 9783642016899
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データ種別 電子ブック
分 類 LCC:QA276.4-.45
DC23:519.5
書誌ID 4000118253
ISBN 9783642016899

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