{"product_id":"9780471574286","title":"Bayesian Inference in Statistical Analysis","description":"\u003ch3\u003eWiley Classics Library\u003c\/h3\u003e\u003ch1\u003eBayesian Inference in Statistical Analysis\u003c\/h1\u003e\u003ch3\u003eGeorge E. P. Box | George C. Tiao\u003c\/h3\u003e\u003cdiv\u003e\u003cb\u003eMathematics \/ Probability \u0026amp; Statistics \/ General\u003c\/b\u003e\u003c\/div\u003e\u003cbr\u003e\u003cdiv\u003eIts main objective is to examine the application and relevance of Bayes' theorem to problems that arise in scientific investigation in which inferences must be made regarding parameter values about which little is known \u003ci\u003ea priori\u003c\/i\u003e. Begins with a discussion of some important general aspects of the Bayesian approach such as the choice of prior distribution, particularly noninformative prior distribution, the problem of nuisance parameters and the role of sufficient statistics, followed by many standard problems concerned with the comparison of location and scale parameters. The main thrust is an investigation of questions with appropriate analysis of mathematical results which are illustrated with numerical examples, providing evidence of the value of the Bayesian approach.\u003c\/div\u003e\u003cdiv\u003e  \u003cp\u003e\u003cstrong\u003eGEORGE E. P. BOX\u003c\/strong\u003e, PhD, is Ronald Aylmer Fisher Professor Emeritus of Statistics and Industrial Engineering at the University of Wisconsin, Madison. His lifelong work has defined statistical analysis, while his name and research is a part of some of the most influential statistical constructs, including Box \u0026amp; Jenkins models, Box \u0026amp; Cox transformations, and Box \u0026amp; Behnken designs. Dr. Box is the coauthor of a number of Wiley books, including most recently, \u003cem\u003eStatistical Control by Monitoring and Adjustment, Second Edition\u003c\/em\u003e; \u003cem\u003e Response Surfaces, Mixtures, and Ridge Analyses, Second Edition\u003c\/em\u003e; and \u003cem\u003eImproving Almost Anything: Ideas and Essays, Revised Edition\u003c\/em\u003e. \u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eNORMAN R. DRAPER\u003c\/strong\u003e is professor emeritus at the University of Wisconsin, Madison, in the Department of Statistics. His research interests include Experimental Design, Linear Models, and Nonlinear Estimation. \u003c\/p\u003e\n\u003c\/div\u003e\u003cbr\u003e\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublication Date: \u003c\/td\u003e\n\u003ctd\u003e04 August 1992\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublisher: \u003c\/td\u003e\n\u003ctd\u003eWiley\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eImprint: \u003c\/td\u003e\n\u003ctd\u003eWiley-Interscience\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eISBN-13: \u003c\/td\u003e\n\u003ctd\u003e9780471574286\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFormat: \u003c\/td\u003e\n\u003ctd\u003ePaperback \/ softback\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePage Count: \u003c\/td\u003e\n\u003ctd\u003e608\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWeight (oz): \u003c\/td\u003e\n\u003ctd\u003e30.4\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":44310798270604,"sku":"9780471574286","price":192.56,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9780471574286_8d5f8b2f-361b-4d7a-9f2c-a2671413fcfc.jpg?v=1780106650","url":"https:\/\/fh90cf-fv.myshopify.com\/products\/9780471574286","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}