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02519nam a22005535i 4500 |
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978-94-91216-14-5 |
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DE-He213 |
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20151204191011.0 |
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cr nn 008mamaa |
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110831s2011 fr | s |||| 0|eng d |
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|a 9789491216145
|9 978-94-91216-14-5
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|a 10.2991/978-94-91216-14-5
|2 doi
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|a QA276-280
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|a PBT
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|a MAT029000
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|a 519.5
|2 23
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|a Savchuk, Vladimir.
|e author.
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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 Paris :
|b Atlantis Press,
|c 2011.
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|a XIV, 318 p.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
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|2 rdamedia
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|a online resource
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|a text file
|b PDF
|2 rda
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|a Atlantis Studies in Probability and Statistics,
|x 1879-6893 ;
|v 1
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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 Mathematical statistics.
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|a Biostatistics.
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|a Applied mathematics.
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|a Engineering mathematics.
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|a Mathematical models.
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|a Popular works.
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|a Statistics.
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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 Popular Science, general.
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|a Tsokos, Chris P.
|e author.
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|a SpringerLink (Online service)
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|t Springer eBooks
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|i Printed edition:
|z 9789491216138
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|a Atlantis Studies in Probability and Statistics,
|x 1879-6893 ;
|v 1
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|u http://dx.doi.org/10.2991/978-94-91216-14-5
|z Full Text via HEAL-Link
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912 |
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|a ZDB-2-SMA
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|a Mathematics and Statistics (Springer-11649)
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