Nonparametric Statistical Inference
暫譯: 非參數統計推斷
Gibbons, Jean Dickinson, Chakraborti, Subhabrata
- 出版商: CRC
- 出版日期: 2020-12-22
- 售價: $4,910
- 貴賓價: 9.5 折 $4,665
- 語言: 英文
- 頁數: 674
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 1138087440
- ISBN-13: 9781138087446
海外代購書籍(需單獨結帳)
商品描述
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 book's 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 Association
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.
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 references
Nonparametric 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.
商品描述(中文翻譯)
對於前幾版的讚譽：
「... 一本有著悠久歷史的經典。」 - 《統計論文》
「這本書的第一版於1971年出版... 是這本書在長期內成功的證明。」 - 《ISI短書評》
「... 是非參數統計理論課程中最好的書籍之一。... 寫得非常好且組織良好... 推薦給教師和研究生。」 - 《生物統計學》
「... 這本書在非參數方法的全面發展和應用上沒有競爭對手。早期版本的使用者應該考慮升級到這個新版本。」 - 《技術統計學》
「... 對學生和研究工作者非常有用... 是一門非參數統計的初級研究生課程的好教科書。」 - 《美國統計協會期刊》
自1971年首次出版以來，《非參數統計推斷》一直被廣泛認為是學習非參數統計的來源。第六版延續了這一傳統，並結合了基於R的計算解決方案。
特點：
- 涵蓋最常用的非參數程序
- 陳述假設，發展程序背後的理論，並使用社會、行為和生命科學中的現實例子來說明技術
- 提供假設檢驗、信賴區間估計、樣本大小確定、檢驗力和競爭程序的比較
- 包含用於解決所有數據導向例子的友好用戶附錄表格
- 提供基於R、MINITAB、STATXACT和SAS的計算應用示例
- 列出超過100個新的參考文獻
《非參數統計推斷，第六版》已被徹底修訂和重寫，以使其更易讀且更友好。所有的R解決方案都是新的，使這本書在現代應用中更加有用。全書已更新，包含100個新的引用，包括一些最新的文獻，以使其對研究人員更具時效性和實用性。
作者簡介
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.
作者簡介(中文翻譯)
Jean Dickinson Gibbons 是阿拉巴馬大學應用統計學的榮譽羅素教授，並曾擔任系主任長達20年。她是美國統計學會的終身會員，曾在其董事會服務三屆；她於1972年被選為會士。她在杜克大學獲得數學學士學位（1958年）和碩士學位（1959年），並在維吉尼亞理工大學獲得統計學博士學位（1962年），該校最近以她的名字命名其研究生項目。除了在阿拉巴馬大學任教外，她還曾在賓夕法尼亞大學沃頓商學院、辛辛那提大學和梅瑟大學任教，並為美國陸軍、海軍研究生院和美國統計學會提供短期課程。她目前居住在佛羅里達州的維羅海灘，並在印度河州立學院的Fielden終身學習研究所擔任同儕領導者。
Subhabrata Chakraborti 是阿拉巴馬大學的統計學教授及Morrow教職研究員。他是美國統計學會的會士，也是國際統計學會的當選會員。2019年，他獲得阿拉巴馬大學的Burnum傑出教職員獎和SEC年度教授獎。Chakraborti教授已發表或共同發表超過一百篇出版物。他是由John Wiley出版的《非參數統計過程控制》（2019年）的共同作者。他的研究興趣包括統計方法的應用，特別是在工業統計及相關領域中的非參數方法。Chakraborti教授曾是富布賴特學者，並在南非、印度和巴西等多個國家擔任訪問教授；他因與來自世界各地的學生和學者的合作而受到認可。他還擔任《統計與質量工程通訊》的副編輯。
