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Improving Efficiency by Shrinkage: The James-Stein and Ridge Regression Estimators: 156 (Statistics: a Series of Textbooks and Monographs, 156)
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Improving Efficiency by Shrinkage: The James-Stein and Ridge Regression Estimators: 156 (Statistics: a Series of Textbooks and Monographs, 156)

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About This Book

Offers a treatment of different kinds of James-Stein and ridge regression estimators from a frequentist and Bayesian point of view. The book explains and compares estimators analytically as well as numerically and includes Mathematica and Maple programs used in numerical comparison.;College or university bookshops may order five or more copies at a special student rate, available on request.

About the Author

Improving Efficiency by Shrinkage: The James-Stein and Ridge Regression Estimators: 156 is authored by Marvin Gruber.

Product description Review "The author has done a great job in writing the materials. The book is more on the theoretical and mathematical side than on the application side. The estimators and the results discussed in the book will be useful to practitioners in the physical, chemical, and engineering sciences. The book is a very good addition to the literature on James-Stein and ridge estimators. " ---Technometrics ". . .an essential library purchase. " ---Short Book Reviews of the International Statistical Institute ". . .recommended as a textbook for graduate students. . .[and] as a research monograph for professionals in statistics, engineering and econometrics who are interested to know how to improve upon the traditional estimators in regressional analysis." ---Statistical Papers About the Author Marvin GruberMarvin H. J. Gruber is a Professor of Mathematics and Statistics at the Rochester Institute of Technology, New York.

Book Highlights

Published by ‎ CRC Pr I Llc
Language: ‎ English
Publication date: ‎ 1 June 1998
Edition: ‎ 1st
Category: Mathematics > Statistics
Dimensions: ‎ 16.51 x 3.81 x 24.13 cm
Weight: ‎ 1 kg 40 g
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Book Specifications

ISBN-139780824701567
ISBN-100824701569
Publisher‎ CRC Pr I Llc
Language‎ English
Dimensions‎ 16.51 x 3.81 x 24.13 cm
Weight‎ 1 kg 40 g
Country‎ USA
CategoryMathematics › Statistics

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