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Autor Savchuk, Vladimir. author.

Título Bayesian Theory and Methods with Applications [electronic resource] / by Vladimir Savchuk, Chris P. Tsokos.

Publicación Paris : Atlantis Press, 2011.
Descripción física XIV, 318 p. online resource.
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
text file PDF rda
Colección Atlantis Studies in Probability and Statistics, 1879-6893 ; 1
Atlantis Studies in Probability and Statistics, 1879-6893 ; 1
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Springer eBooks. Mathematics and Statistics
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Resumen: 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.
Materia Statistics.
Mathematical statistics.
Biostatistics.
Applied mathematics.
Engineering mathematics.
Mathematical models.
Popular works.
Statistics.
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Statistical Theory and Methods.
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Applications of Mathematics.
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Mathematical Modeling and Industrial Mathematics.
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Probability and Statistics in Computer Science.
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Biostatistics.
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Popular Science, general.
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Autor secundario Tsokos, Chris P. author.
SpringerLink (Online service)
En Springer eBooks
OTRO SOPORTE Printed edition: 9789491216138
ISBN 9789491216145 978-94-91216-14-5
ISBN/ISSN 10.2991/978-94-91216-14-5 doi