Understanding Robust and Exploratory Data Analysis
β Scribed by David C. Hoaglin (editor); Frederick Mosteller (editor); John W. Tukey (editor)
- Publisher
- Wiley
- Year
- 1982
- Tongue
- English
- Leaves
- 472
- Series
- Wiley Series in Probability and Statistics
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
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.
β¦ Table of Contents
-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.
π SIMILAR VOLUMES
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With a useful index of notations at the beginning, this book explains and illustrates the theory and application of data analysis methods from univariate to multidimensional and how to learn and use them efficiently. This book is well illustrated and is a useful and well-documented review of the mos
An introduction to the underlying principles, central concepts, and basic techniques for conducting and understanding exploratory data analysis -- with numerous social science examples.
The approach in this introductory book is that of informal study of the data. Methods range from plotting picture-drawing techniques to rather elaborate numerical summaries. Several of the methods are the original creations of the author, and all can be carried out either with pencil or aided
The approach in this introductory book is that of informal study of the data. Methods range from plotting picture-drawing techniques to rather elaborate numerical summaries. Several of the methods are the original creations of the author, and all can be carried out either with pencil or aided