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.
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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
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Book Description Oxford University Press, USA, 1996. Paperback. Book Condition: New. Bookseller Inventory # DADAX0198518897
Book Description Oxford University Press, 1996. Paperback. Book Condition: New. Never used!. Bookseller Inventory # P110198518897
Book Description Oxford University Press, 1996. Paperback. Book Condition: New. book. Bookseller Inventory # M0198518897
Book Description Oxford University Press. PAPERBACK. Book Condition: New. 0198518897 New Condition. Bookseller Inventory # NEW7.0045182