This specific ISBN edition is currently not available.View all copies of this ISBN edition:
This is the first book on the maximum entropy and Bayesian methods aimed at senior undergraduates in science and engineering. It takes the mystery out of statistics by showing how a few fundamental rules can be used to tackle a wide variety of problems in data analysis. 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. As a logical and unified approach to the subject of data analysis, with a self-contained tutorial approach, this work will be valued by instructors and students alike.
"synopsis" may belong to another edition of this title.
D. S. Sivia, Rutherford Appleton Laboratory and St Catherine's College, Oxford.Review:
"This book is designed to be a guide to the Bayesian approach. It is certainly not an all-encompassing textbook on the subject but rather describes for the reader how one can use the Bayesian approach for standard data analyses. . . .Well written and at a modest technical level (senior undergraduate)." --Technometrics
"About this title" may belong to another edition of this title.
Book Description Oxford University Press, Incorporated, 1926. Condition: Good. Former Library book. Shows some signs of wear, and may have some markings on the inside. Seller Inventory # 17145069-75
Book Description Oxford University Press, 1996. Condition: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,500grams, ISBN:9780198517627. Seller Inventory # 8511044