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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.
nts :
Stem-and-leaf displays
Letter values: a set of selected order statistics
Boxplots and batch comparison
Transforming data
Resistant lines for y versus x
Analysis of two-way tables by medians
Examining residuals
Mathematical aspects of transformation
Introduction to more refined estimators
Comparing location estimators: trimmed means, medians, and trimean
M-estimators of location: an outline of the theory
Robust scale estimators and confidence intervals for location