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|a 9789491216145
|9 978-94-91216-14-5
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|a 10.2991/978-94-91216-14-5
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|a Savchuk, Vladimir.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
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|a Bayesian Theory and Methods with Applications
|h [electronic resource] /
|c by Vladimir Savchuk, Chris P. Tsokos.
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|a 1st ed. 2011.
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|a Paris :
|b Atlantis Press :
|b Imprint: Atlantis Press,
|c 2011.
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|a XIV, 318 p.
|b online resource.
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|a text
|b txt
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|a text file
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|a Atlantis Studies in Probability and Statistics,
|x 1879-6907 ;
|v 1
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520 |
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|a 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.
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|a Statistics .
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|a Mathematics.
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|a Mathematical models.
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|a Computer science-Mathematics.
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|a Mathematical statistics.
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|a Biometry.
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|a Engineering.
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|a Statistical Theory and Methods.
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|a Applications of Mathematics.
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|a Mathematical Modeling and Industrial Mathematics.
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|a Probability and Statistics in Computer Science.
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|a Biostatistics.
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|a Technology and Engineering.
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|a Tsokos, Chris P.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
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|a SpringerLink (Online service)
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|t Springer Nature eBook
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|i Printed edition:
|z 9789491216411
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|i Printed edition:
|z 9789491216152
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|i Printed edition:
|z 9789491216138
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|a Atlantis Studies in Probability and Statistics,
|x 1879-6907 ;
|v 1
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|u https://doi.uam.elogim.com/10.2991/978-94-91216-14-5
|z Texto Completo
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|a ZDB-2-SMA
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|a ZDB-2-SXMS
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