{"product_id":"9780470028643","title":"Meta Analysis A Guide to Calibrating and Combining Statistical Evidence","description":"\u003ch3\u003eWiley Series in Probability and Statistics\u003c\/h3\u003e\u003ch1\u003eMeta Analysis\u003c\/h1\u003e\u003ch2\u003eA Guide to Calibrating and Combining Statistical Evidence\u003c\/h2\u003e\u003ch3\u003eElena Kulinskaya | Stephan Morgenthaler | Robert G. Staudte\u003c\/h3\u003e\u003cdiv\u003e\u003cb\u003eMathematics \/ Probability \u0026amp; Statistics \/ General\u003c\/b\u003e\u003c\/div\u003e\u003cbr\u003e\u003cdiv\u003e\n\u003ci\u003eMeta Analysis: A Guide to Calibrating and Combining Statistical Evidence\u003c\/i\u003e acts as a source of basic methods for scientists wanting to combine evidence from different experiments. The authors aim to promote a deeper understanding of the notion of statistical evidence.\u003cbr\u003e \u003cbr\u003e The book is comprised of two parts – \u003ci\u003eThe Handbook\u003c\/i\u003e, and \u003ci\u003eThe Theory\u003c\/i\u003e. \u003ci\u003eThe Handbook\u003c\/i\u003e is a guide for combining and interpreting experimental evidence to solve standard statistical problems. This section allows someone with a rudimentary knowledge in general statistics to apply the methods. \u003ci\u003eThe Theory\u003c\/i\u003e provides the motivation, theory and results of simulation experiments to justify the methodology.\u003cbr\u003e \u003cbr\u003e This is a coherent introduction to the statistical concepts required to understand the authors’ thesis that evidence in a test statistic can often be calibrated when transformed to the right scale.\u003c\/div\u003e\u003cdiv\u003e  \u003cb\u003eDr. E. Kulinskaya\u003c\/b\u003e – Director, Statistical Advisory Service, Imperial College, London.\u003cbr\u003e \u003cbr\u003e \u003cb\u003eProfessor S. Morgenthaler\u003c\/b\u003e – Chair of Applied Statistics, Ecole Polytechnique Fédérale de Lausanne, Switzerland. Professor Morgenthaler was Assistant Professor at Yale University prior to moving to EPFL and has chaired various ISI committees.\u003cbr\u003e \u003cbr\u003e \u003cb\u003eProfessor R. G. Staudte\u003c\/b\u003e – Department of Statistical Science, La Trobe University, Melbourne. During his career at La Trobe he has served as Head of the Department of Statistical Science for five years and  Head of the School of Mathematical and Statistical Sciences for two years. He was an Associate Editor for the Journal of Statistical Planning \u0026amp; Inference for 4 years, and is a member of the American Statistical Association, the Sigma Xi Scientific Research Society and the Statistical Society of Australia.\u003c\/div\u003e\u003cbr\u003e\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublication Date: \u003c\/td\u003e\n\u003ctd\u003e21 April 2008\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\u003e9780470028643\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\u003e288\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWeight (oz): \u003c\/td\u003e\n\u003ctd\u003e15.2\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":44315868168332,"sku":"9780470028643","price":86.36,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9780470028643_4ebf6a9c-5f61-438c-8568-ac45745345da.jpg?v=1780156198","url":"https:\/\/lateknightbooks.com\/products\/9780470028643","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}