Description
Book SynopsisThis 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.
Trade Review"With a dozen chapters aimed at readers of a broad standarddeviation of mathematical sophistication, this collection bynotables in the field explains...connection of robust techniquesand exploratory data analysis..." (SciTech Book News, Vol. 24, No.4, December 2000)
"As a tribute to the long-lasting impact of this collection ofpapers, the editors...decided to add Understanding Robust andExploratory Data Analysis to its Classic Library series...to extendthe life of this important work by making it available to futuregenerations of statisticians." (Journal of the American StatisticalAssociation, September 2001)
Table of ContentsStem-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.
