Understanding Robust and Exploratory Data Analysis by David C. HoaglinUnderstanding Robust and Exploratory Data Analysis by David C. Hoaglin

Understanding Robust and Exploratory Data Analysis

EditorDavid C. Hoaglin, Frederick Mosteller, John W. Tukey

Paperback | June 2, 2000

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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.
The Wiley Classics Library consists of selected books that have become recognized classics in their respective fields. With these new unabridged and inexpensiveeditions, Wiley hopes to extend the life of these important works by making themavailable to future generations of mathematicians and scientists. Currently available in the Se...
Title:Understanding Robust and Exploratory Data AnalysisFormat:PaperbackDimensions:472 pages, 9.09 × 5.98 × 1.13 inPublished:June 2, 2000Language:English

The following ISBNs are associated with this title:

ISBN - 10:0471384917

ISBN - 13:9780471384915

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Table of Contents

Stem-and-Leaf Displays (J. Emerson & D. Hoaglin).

Letter Values: A Set of Selected Order Statistics (D. Hoaglin).

Boxplots and Batch Comparison (J. Emerson & J. Strenio).

Transforming Data (J. Emerson & M. Stoto).

Resistant Lines for y Versus x (J. Emerson & D. Hoaglin).

Analysis of Two-Way Tables by Medians (J. Emerson & D. Hoaglin).

Examining Residuals (C. Goodall).

Mathematical Aspects of Transformation (J. Emerson).

Introduction to More Refined Estimators (D. Hoaglin, et al.).

Comparing Location Estimators: Trimmed Means, Medians, and Trimean (J. Rosenberger & M. Gasko).

M-Estimators of Location: An Outline of the Theory (C. Goodall).

Robust Scale Estimators and Confidence Intervals for Location (B. Iglewicz).


Editorial Reviews

"With a dozen chapters aimed at readers of a broad standard deviation of mathematical sophistication, this collection by notables in the field explains...connection of robust techniques and exploratory data analysis..." (SciTech Book News, Vol. 24, No. 4, December 2000) "As a tribute to the long-lasting impact of this collection of papers, the editors...decided to add Understanding Robust and Exploratory Data Analysis to its Classic Library series...to extend the life of this important work by making it available to future generations of statisticians." (Journal of the American Statistical Association, September 2001)