Robust Nonparametric Statistical Methods (Kendall's Library of Statistics: An Arnold Publication No. 5) |
 enlarge | Authors: T. P. Hettmansperger, J. W. Mckean
Publisher: A Hodder Arnold Publication
Category: Book
List Price: $111.00
Buy Used: $92.03
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Rating:  1 reviews
Sales Rank: 1536758
Media: Hardcover
Pages: 484
Number Of Items: 1
Shipping Weight (lbs): 1.8
Dimensions (in): 9.3 x 6.3 x 1.2
ISBN: 0340549378
Dewey Decimal Number: 519.5
EAN: 9780340549377
Publication Date: January 30, 1998
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Condition: NEW/UNREAD!!! Text is Clean and Unmarked! --Be Sure to Compare Seller Feedback and Ratings before Purchasing-- Has three small black lines on bottom/exterior edge of pages. May have light shelf wear to cover from storage, if any. In House Upgrade to Expedited shipping for items valued at or totaling $40.00 or more!
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Editorial Reviews:
Product Description
Based in ranks of the data, this book offers an alternative to the traditional least squares approach. Topics include one- and two-sample location models, linear models (including multiple regression and designed experiments), and multivariate models. Rank tests and estimates for all models are developed, including bounded influence and high breakdown methods. Emphasis is on efficiency and robustness and all methods are illustrated on data sets.
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Customer Reviews:
a very nice advanced book on modern nonparametric methods and useful robust procedures March 26, 2008
Michael R. Chernick (Holland PA)
24 out of 24 found this review helpful
Nonparametric statistics these days embraces robust and resampling techniques as well as the more tradional rank tests and permutation tests. Hettmansperger is one of the leading researchers in nonparametric methods and has published a fine text on ranking tests. This book in the spirit of Kendall and Stuart's advanced theory of statistics presents advanced modern results in a concise way.
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