Understanding Robust and Exploratory Data Analysis

Hoaglin

ISBN 10: 0471384917 / ISBN 13: 9780471384915

Published by John Wiley and Sons Ltd, 2000

About this Item

This text explains the necessity for and uses of both exploratory data analysis and robust and resistant methods in statistical practice. Edited by pre-eminent statisticians, it provides the conceptual, logical, and sometimes mathematical support for the more basic techniques of these methods. Editor(s): Hoaglin, David C.; Mosteller, Frederick; Tukey, John Wilder; John W. Tukey (Professor Emeritus, Princeton University, USA). Series: Wiley Classics Library. Num Pages: 472 pages, Illustrations. BIC Classification: PBT. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 231 x 152 x 28. Weight in Grams: 661. . 2000. 1st Edition. Paperback. . . . . Seller Inventory # V9780471384915

Bibliographic Details

Title: Understanding Robust and Exploratory Data ...

Publisher: John Wiley and Sons Ltd

Publication Date: 2000

Binding: Soft cover

Condition: New

Edition: 1st Edition

About this title

Synopsis:

Originally published in hardcover in 1982, this book is now offered in a Wiley Classics Library edition. A contributed volume, edited by some of the preeminent statisticians of the 20th century, Understanding of Robust and Exploratory Data Analysis explains why and how to use exploratory data analysis and robust and resistant methods in statistical practice.

From the Publisher:

Provides conceptual, logical, and mathematical support for fundamental exploratory data analysis and robust and resistant methods. Discusses the attitudes and philosophy underlying these methods and examines the connections between exploratory techniques, conventional techniques, and classical statistical theory. Features a unified treatment of transformations. Also explains robust and resistant techniques of estimation through examples and accessible mathematics, emphasizing estimation of (symmetric) location and estimation of scale.