{"product_id":"nonparametric-statistical-meth-9780470387375","title":"Nonparametric Statistical Meth","description":"\u003cp\u003ePraise for the Second Edition\u003cbr\u003e \"This book should be an essential part of the personal library of every practicing statistician.\"\u003ci\u003e--\u003c\/i\u003eTechnometrics\u003c\/p\u003e \u003cp\u003e \u003cbr\u003e Thoroughly revised and updated, the new edition of \u003ci\u003eNonparametric Statistical Methods\u003c\/i\u003e includes additional modern topics and procedures, more practical data sets, and new problems from real-life situations. The book continues to emphasize the importance of nonparametric methods as a significant branch of modern statistics and equips readers with the conceptual and technical skills necessary to select and apply the appropriate procedures for any given situation.\u003c\/p\u003e \u003cp\u003eWritten by leading statisticians, \u003ci\u003eNonparametric Statistical Methods, Third Edition\u003c\/i\u003e provides readers with crucial nonparametric techniques in a variety of settings, emphasizing the assumptions underlying the methods. The book provides an extensive array of examples that clearly illustrate how to use nonparametric approaches for handling one- or two-sample location and dispersion problems, dichotomous data, and one-way and two-way layout problems. In addition, the \u003ci\u003eThird Edition\u003c\/i\u003e features: \u003c\/p\u003e \u003cul\u003e \u003cli\u003eThe use of the freely available R software to aid in computation and simulation, including many new R programs written explicitly for this new edition\u003c\/li\u003e \u003cli\u003eNew chapters that address density estimation, wavelets, smoothing, ranked set sampling, and Bayesian nonparametrics\u003c\/li\u003e \u003cli\u003eProblems that illustrate examples from agricultural science, astronomy, biology, criminology, education, engineering, environmental science, geology, home economics, medicine, oceanography, physics, psychology, sociology, and space science\u003c\/li\u003e \u003c\/ul\u003e \u003ci\u003eNonparametric Statistical Methods, Third Edition\u003c\/i\u003e is an excellent reference for applied statisticians and practitioners who seek a review of nonparametric methods and their relevant applications. The book is also an ideal textbook for upper-undergraduate and first-year graduate courses in applied nonparametric statistics.\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAbout the Author\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\u003cb\u003eMYLES HOLLANDER\u003c\/b\u003e is Robert O. Lawton Distinguished Professor of Statistics and Professor Emeritus at the Florida State University in Tallahassee. He served as editor of the Theory and Methods Section of the \u003ci\u003eJournal of the American Statistical Association\u003c\/i\u003e, 1993-96, and he received the Gottfried E. Noether Senior Scholar Award from the American Statistical Association in 2003.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eDOUGLAS A. WOLFE\u003c\/b\u003e is Professor and Chair Emeritus in the Department of Statistics at Ohio State University in Columbus. He is a two-time recipient of the Ohio State University Alumni Distinguished Teaching Award, in 1973-74 and 1988-89.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eERIC CHICKEN\u003c\/b\u003e is Associate Professor at the Florida State University in Tallahassee. He is active in modern nonparametric statistics research fields, including functional analysis, sequential methods, and complex system applications.\u003c\/p\u003e\u003cbr\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":50924014928146,"sku":"9780470387375","price":131.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0831\/4771\/8930\/files\/img_3acbdadd-3af0-440d-8821-dd3876aa4c3b.jpg?v=1738968303","url":"https:\/\/surprise-castle.myshopify.com\/products\/nonparametric-statistical-meth-9780470387375","provider":"Surprise Castle","version":"1.0","type":"link"}