dj w/lite wear only, in mylar; black c w/gilt titles; 447 clean, unmarked pages/index.a classic statistics text explains how to inspect data, find patterns, and use resistant statistical methods that are not ruined by unusual values, Tools like stem-and-leaf displays, boxplots, and letter values to look at data first.Methods to change data scales so they show symmetry or straight lines, fitting lines and two-way tables using medians so outliers do not skew the results, & advanced ways to measure the middle (location) and spread (scale) of data using tools like trimmed means and M-estimators.

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Bibliographic Details

Title: Understanding Robust and Exploratory Data Analysis (Wiley Series in Probability and Statistics)
Publisher: John Wiley & Sons, Inc,, NY
Publication Date: 1983
Language: English
ISBN 10: 0471097772
ISBN 13: 9780471097778
Binding: Hardcover
Illustrator: graphs, formulae
Edition: 1st Edition
Printing: 2nd Printing
Condition: Very Good
Dust Jacket Condition: Very Good
Dimensions: Octavo, Approximately 23 centimetres, or 9 inches tall

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.

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