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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)
版 | 1st ed. 2011. |
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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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電子ブック | オンライン | 電子ブック |
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Springer eBooks | 9789491216145 |
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EB00232990 |
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