EAN: 9780198568322

DATA ANALYSIS - D S SIVIA KARTONIERT (TB)

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 optimization  least-squares and maximum likelihood 
error-propagation  hypothesis testing  maximum entropy and experimental design. 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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