Understanding robust and exploratory data analysis
Author(s)
Bibliographic Information
Understanding robust and exploratory data analysis
（Wiley classics library）
Wiley, 2000, c1983
Wiley Classics Library ed
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Note
Includes bibliographical references and index
Originally published: 1983
Description and Table of Contents
Description
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.
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).
Index.
by "Nielsen BookData"