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Understanding Robust and Exploratory Data Analysis. Edition No. 1. Wiley Classics Library

  • ID: 2175533
  • Book
  • June 2000
  • 472 Pages
  • John Wiley and Sons Ltd
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.
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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).

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John W. Tukey Formerly of Princeton University and Bell Laboratories.

David C. Hoaglin Harvard University, MA and ABT Associates Inc..

Frederick Mosteller Harvard University, MA.
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