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Exploring Data Tables P

Name: Exploring Data Tables P
Brand: John Wiley & Sons
SKU: 9780470040058
Price: 13746.00 INR
Availability: InStock
ISBN: 9780470040058

EXPLORING DATA TABLES TRENDS &

Contributor(s): Hoaglin Author , Mosteller Author , Tukey Author Format: Paperback

Paperback · ISBN 9780470040058

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Key Specifications

ISBN	9780470040058
Subtitle	EXPLORING DATA TABLES TRENDS &
Publisher	John Wiley & Sons
Publication date	February 2006
Language	English
MRP	£122.95 GBP
Page count	562
Item weight	172 g

WILEY-INTERSCIENCE PAPERBACK SERIES

The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians, and scientists.

"Exploring Data Tables, Trends, and Shapes (EDTTS) was written as a companion volume to the same editors' book, Understanding Robust and Exploratory Data Analysis (UREDA). Whereas UREDA is a collection of exploratory and resistant methods of estimation and display, EDTTS goes a step further, describing multivariate and more complicated techniques . . . I feel that the authors have made a very significant contribution in the area of multivariate nonparametric methods. This book [is] a valuable source of reference to researchers in the area."
--Technometrics

"This edited volume . . . provides an important theoretical and philosophical extension to the currently popular statistical area of Exploratory Data Analysis, which seeks to reveal structure, or simple descriptions, in data . . . It is . . . an important reference volume which any statistical library should consider seriously."
--The Statistician

This newly available and affordably priced paperback version of Exploring Data Tables, Trends, and Shapes presents major advances in exploratory data analysis and robust regression methods and explains the techniques, relating them to classical methods. The book addresses the role of exploratory and robust techniques in the overall data-analytic enterprise, and it also presents new methods such as fitting by organized comparisons using the square combining table and identifying extreme cells in a sizable contingency table with probabilistic and exploratory approaches. The book features a chapter on using robust regression in less technical language than available elsewhere. Conceptual support for each technique is also provided.

Exploring Data Tables P

Key Specifications

Hoaglin Author

Mosteller Author

Tukey Author

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