Description: Robust Statistics : Theory And Methods, Hardcover by Maronna, Richardo A.; Martin, R. Douglas; Yohai, Victor J., ISBN 0470010924, ISBN-13 9780470010921, Like New Used, Free P&P in the UK Maronna (Universidad Nacional de La Plata, Argentina), Martin (U. of Washington, Seattle), and Yohai (U. of Buenos Aires, Argentina) describe the use of robust methods and their advantages and disadvantages, as well as their application in regression, multivariate analysis, generalized linear models, and time series. They aim to promote the use of these methods to increase the reliability and accuracy of statistical modeling and data analysis and allow the reader to select the best methods for each model. For each, theory, leading methods, comparisons of properties, computational algorithms and S-PLUS implementations, and recommendations are provided. The volume is intended for researchers, practitioners, and graduate students in statistics, electrical, chemical, and biochemical engineering, and computer vision who have a knowledge of probability, calculus and linear algebra, statistics, and linear regression. Annotation ©2006 Book News, Inc., Portland, OR ()
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Book Title: Robust Statistics : Theory And Methods
Number of Pages: 436 Pages
Publication Name: Robust Statistics: Theory and Methods
Language: English
Publisher: John Wiley & Sons INC International Concepts
Item Height: 234 mm
Subject: Mathematics
Publication Year: 2006
Type: Textbook
Item Weight: 864 g
Author: Douglas R. Martin, Victor J. Yohai, Ricardo A. Maronna
Item Width: 177 mm
Series: Wiley Series in Probability and Statistics
Format: Hardcover
