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.
Author(s): David C. Hoaglin (editor); Frederick Mosteller (editor); John W. Tukey (editor)
Series: Wiley Series in Probability and Statistics
Edition: 1
Publisher: Wiley
Year: 1982
Language: English
Pages: xvi; 447
City: Hoboken
-Stem-and-leaf displays / John D. Emerson and David C. Hoaglin --
-Letter values: a set of selected order statistics / David C. Hoaglin --
-Boxplots and batch comparison / John D. Emerson and Judith Strenio --
-Transforming data / John D. Emerson and Michael A. Stoto --
-Resistant lines for y versus x / John D. Emerson and David C. Hoaglin --
-Analysis of two-way tables by medians / John D. Emerson and David C. Hoaglin --
-Examining residuals / Colin Goodall --
-Mathematical aspects of transformation / John D. Emerson --
-Introduction to more refined estimators / David C. Hoaglin, Frederick Mosteller, and John W. Tukey --
-Comparing location estimators: trimmed means, medians, and trimean / James L. Rosenberger and Miriam Gasko --
-M-estimators of location: an outline of the theory / Colin Goodall --
-Robust scale estimators and confidence intervals for location / Boris Iglewicz.
