Data Analysis A Bayesian Tutorial
Edition: 2nd 2006 (Revised)
List price: $53.00
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Statistics lectures have been a source of much bewilderment and frustration for generations of students. This book attempts to remedy the situation by expounding a logical and unified approach to the whole subject of data analysis.This text is intended as a tutorial guide for senior undergraduates and research students in science and engineering. After explaining the basic principles of Bayesian probability theory, their use is illustrated with a variety of examples ranging from elementary parameter estimation to image processing. Other topics covered include reliability analysis, multivariate optimisation, least-squares and maximum likelihood, error-propagation, hypothesis testing, maximum entropy and experimentaldesign.The Second Edition of this successful tutorial book contains a new chapter on extensions to the ubiquitous least-squares procedure, allowing for the straightforward handling of outliers and unknown correlated noise, and a cutting-edge contribution from John Skilling on a novel numerical technique for Bayesian computation called 'nested sampling'.
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All the information you need in one place! Each Study Brief is a summary of one specific subject; facts, figures, and explanations to help you learn faster.
List price: $53.00
Copyright year: 2006
Publisher: Oxford University Press, Incorporated
Publication date: 7/27/2006
Size: 6.00" wide x 9.00" long x 1.00" tall
|Sivia: The Basics|
|Sivia: Parameter Estimation I|
|Sivia: Parameter Estimation II|
|Sivia: Model Selection|
|Sivia: Assigning Probabilities|
|Sivia: Non-parametric Estimation|
|Sivia: Experimental Design|
|Sivia: Least-Squares Extensions|
|Skilling: Nested Sampling|