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Introduction to Bayesian Statistics (Paperback, Softcover reprint of hardcover 2nd ed. 2007) Loot Price: R2,873
Discovery Miles 28 730
Introduction to Bayesian Statistics (Paperback, Softcover reprint of hardcover 2nd ed. 2007): Karl-Rudolf Koch

Introduction to Bayesian Statistics (Paperback, Softcover reprint of hardcover 2nd ed. 2007)

Karl-Rudolf Koch

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Loot Price R2,873 Discovery Miles 28 730 | Repayment Terms: R269 pm x 12*

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The Introduction to Bayesian Statistics (2nd Edition) presents Bayes theorem, the estimation of unknown parameters, the determination of confidence regions and the derivation of tests of hypotheses for the unknown parameters, in a manner that is simple, intuitive and easy to comprehend. The methods are applied to linear models, in models for a robust estimation, for prediction and filtering and in models for estimating variance components and covariance components. Regularization of inverse problems and pattern recognition are also covered while Bayesian networks serve for reaching decisions in systems with uncertainties. If analytical solutions cannot be derived, numerical algorithms are presented such as the Monte Carlo integration and Markov Chain Monte Carlo methods.

General

Imprint: Springer-Verlag
Country of origin: Germany
Release date: October 2010
First published: 2007
Authors: Karl-Rudolf Koch
Dimensions: 235 x 155 x 14mm (L x W x T)
Format: Paperback
Pages: 249
Edition: Softcover reprint of hardcover 2nd ed. 2007
ISBN-13: 978-3-642-09183-4
Categories: Books > Science & Mathematics > Mathematics > Probability & statistics
Books > Science & Mathematics > Physics > Applied physics & special topics > Geophysics
Books > Earth & environment > Geography > Cartography, geodesy & geographic information systems (GIS) > Geographical information systems (GIS)
Books > Earth & environment > Geography > Cartography, geodesy & geographic information systems (GIS) > Remote sensing
Books > Computing & IT > Applications of computing > Image processing > General
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LSN: 3-642-09183-0
Barcode: 9783642091834

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