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Nonparametric Statistical Inference by Jean Dickinson Gibbons (English) Hardcove

Description: Nonparametric Statistical Inference by Jean Dickinson Gibbons, Subhabrata Chakraborti Estimated delivery 3-12 business days Format Hardcover Condition Brand New Description Since its first publication in 1971, Nonparametric Statistical Inference has been widely regarded as the source for learning about nonparametrics. The sixth edition carries on this tradition and incorporates computer solutions based on R. Publisher Description Praise for previous editions:"… a classic with a long history." – Statistical Papers"The fact that the first edition of this book was published in 1971 … [is] testimony to the books success over a long period." – ISI Short Book Reviews"… one of the best books available for a theory course on nonparametric statistics. … very well written and organized … recommended for teachers and graduate students." – Biometrics"… There is no competitor for this book and its comprehensive development and application of nonparametric methods. Users of one of the earlier editions should certainly consider upgrading to this new edition." – Technometrics"… Useful to students and research workers … a good textbook for a beginning graduate-level course in nonparametric statistics." – Journal of the American Statistical AssociationSince its first publication in 1971, Nonparametric Statistical Inference has been widely regarded as the source for learning about nonparametrics. The Sixth Edition carries on this tradition and incorporates computer solutions based on R. Features Covers the most commonly used nonparametric procedures States the assumptions, develops the theory behind the procedures, and illustrates the techniques using realistic examples from the social, behavioral, and life sciences Presents tests of hypotheses, confidence-interval estimation, sample size determination, power, and comparisons of competing procedures Includes an Appendix of user-friendly tables needed for solutions to all data-oriented examples Gives examples of computer applications based on R, MINITAB, STATXACT, and SAS Lists over 100 new referencesNonparametric Statistical Inference, Sixth Edition, has been thoroughly revised and rewritten to make it more readable and reader-friendly. All of the R solutions are new and make this book much more useful for applications in modern times. It has been updated throughout and contains 100 new citations, including some of the most recent, to make it more current and useful for researchers. Author Biography Jean Dickinson Gibbons is Russell Professor Emerita of Applied Statistics at the University of Alabama, where she also served as Chair for 20 years. She is a life member of the American Statistical Association, serving three terms on their Board of Directors; she was elected a Fellow in 1972. She earned the B.A. (1958) and M.A. (1959) in mathematics from Duke University and the Ph.D. (1962) in statistics from Virginia Tech, which recently named their graduate program after her. In addition to Alabama, she taught at the Wharton School of the University of Pennsylvania, the University of Cincinnati and Mercer University and offered short courses for the U.S. Army, the Naval Postgraduate School and the American Statistical Association. She currently lives in Vero Beach, Florida, where she is a peer leader in the Fielden Institute for Lifelong Learning at Indian River State College.Subhabrata Chakraborti is Professor of Statistics and Morrow Faculty Fellow at the University of Alabama. He is a Fellow of the American Statistical Association and an Elected Member of the International Statistical Institute. In 2019, he received the Burnum Distinguished Faculty Award and the SEC Professor of the Year Award at the University of Alabama. Professor Chakraborti has authored or co-authored over one hundred publications. He is the co-author of Nonparametric Statistical Process Control (2019) published by John Wiley. His research interests include applications of statistical methods, including nonparametric methods in industrial statistics and allied areas. Professor Chakraborti has been a Fulbright Scholar and a visiting professor in several countries including South Africa, India and Brazil; he is recognized for his work with students and scholars from around the world. He serves as an Associate Editor of Communications in Statistics and Quality Engineering. Details ISBN 1138087440 ISBN-13 9781138087446 Title Nonparametric Statistical Inference Author Jean Dickinson Gibbons, Subhabrata Chakraborti Format Hardcover Year 2020 Pages 694 Edition 6th Publisher Taylor & Francis Ltd GE_Item_ID:141592089; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. 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Nonparametric Statistical Inference by Jean Dickinson Gibbons (English) Hardcove

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ISBN-13: 9781138087446

Book Title: Nonparametric Statistical Inference

Number of Pages: 608 Pages

Language: English

Publication Name: Nonparametric Statistical Inference Sixth Edition

Publisher: CRC Press LLC

Publication Year: 2020

Subject: General

Type: Textbook

Subject Area: Mathematics

Author: Subhabrata Chakraborti, Jean Dickinson Gibbons

Format: Hardcover

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