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Bayesian Theory and Methods with Applications / by Vladimir Savchuk, Chris P. Tsokos
(Atlantis Studies in Probability and Statistics. ISSN:18796907 ; 1)

1st ed. 2011.
出版者 Paris : Atlantis Press : Imprint: Atlantis Press
出版年 2011
本文言語 英語
大きさ XIV, 318 p : online resource
著者標目 *Savchuk, Vladimir author
Tsokos, Chris P author
SpringerLink (Online service)
件 名 LCSH:Statistics 
LCSH:Mathematics
LCSH:Mathematical models
LCSH:Computer science -- Mathematics  全ての件名で検索
LCSH:Mathematical statistics
LCSH:Biometry
LCSH:Engineering
FREE:Statistical Theory and Methods
FREE:Applications of Mathematics
FREE:Mathematical Modeling and Industrial Mathematics
FREE:Probability and Statistics in Computer Science
FREE:Biostatistics
FREE:Technology and Engineering
一般注記 Bayesian methods are growing more and more popular, finding new practical applications in the fields of health sciences, engineering, environmental sciences, business and economics and social sciences, among others. This book explores the use of Bayesian analysis in the statistical estimation of the unknown phenomenon of interest. The contents demonstrate that where such methods are applicable, they offer the best possible estimate of the unknown. Beyond presenting Bayesian theory and methods of analysis, the text is illustrated with a variety of applications to real world problems
HTTP:URL=https://doi.org/10.2991/978-94-91216-14-5
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Springer eBooks 9789491216145
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EB00232990

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データ種別 電子ブック
分 類 LCC:QA276-280
DC23:519.5
書誌ID 4000116176
ISBN 9789491216145

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