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Data Analysis

Autor D. S. Sivia
en Limba Engleză Paperback – iul 2006
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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Specificații

ISBN-13: 9780198568322
ISBN-10: 0198568320
Pagini: 260
Ilustrații: 68 line drawings + 1 halftone
Dimensiuni: 156 x 234 x 15 mm
Greutate: 0.4 kg
Ediția:2. Auflage
Editura: OUP UK
Locul publicării:Oxford, United Kingdom

Recenzii

One of the strengths of this book is the author's ability to motivate the use of Bayesian methods through simple yet effective examples.

Notă biografică

Devinderjit Singh SiviaRutherford Appleton LaboratoryChiltonOxonOX11 5DJJohn SkillingMaximum Entropy Data Consultants42 Southgate StreetBury St EdmondsSuffolkIP33 2AZ