Books : Robust Nonparametric Methods (Kendall's Library of Statistics)

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Author name: Thomas P. Hettmansberger, Joseph W. McKean

 : Robust Nonparametric Methods (Kendall's Library of Statistics)
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Type of bind: Hardcover
EAN num: 9780471194798
ISBN number: 0471194794
Label: John Wiley & Sons
Manufacturer: John Wiley & Sons
Quantity: 1
Page Count: 352
Printing Date: 1997-08
Publishing house: John Wiley & Sons
Sale Popularity Level: 7008697
Studio: John Wiley & Sons




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Editor's Notes and Comments:

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.



Customer Reviews
User popularity level:  out of 5 stars

Rated by buyers 5 out of 5 stars - a very nice advanced book on modern nonparametric methods and useful robust procedures
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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