Understanding Robust and Exploratory Data Analysis

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Last edited by MARC Bot
December 11, 2023 | History

Understanding Robust and Exploratory Data Analysis

  • 0 Ratings
  • 5 Want to read
  • 1 Currently reading
  • 0 Have read

Provides conceptual, logical, and mathematical support for fundamental exploratory data analysis and robust and resistant methods. Discusses the attitudes and philosophy underlying these methods and examines the connections between exploratory techniques, conventional techniques, and classical statistical theory. Features a unified treatment of transformations. Also explains robust and resistant techniques of estimation through examples and accessible mathematics, emphasizing estimation of (symmetric) location and estimation of scale.

Publish Date
Publisher
Wiley
Language
English
Pages
447

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Previews available in: English

Edition Availability
Cover of: Understanding Robust and Exploratory Data Analysis
Understanding Robust and Exploratory Data Analysis
January 15, 2000, Wiley-Interscience
in English
Cover of: Understanding Robust and Exploratory Data Analysis
Understanding Robust and Exploratory Data Analysis
1983, Wiley
Paperback; Hardcover in English
Cover of: Understanding robust and exploratory data analysis. Edited by David Caster Hoaglin [and others]

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Book Details


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.

Edition Notes

Title page: "Wiley Classics Library Edition Published 2000".
In the document, issue date: 2000. Actual release date uncertain: between 2006 and 2018, based on a 13-digit ISBN.
Bibliography: p. 427-429.
Includes index.

Published in
New York
Series
Wiley Series in Probability and Statistics

Classifications

Dewey Decimal Class
519.5
Library of Congress
QA276 .U5 1983, QA276

The Physical Object

Format
Paperback; Hardcover
Pagination
xvi, 447 p. :
Number of pages
447
Dimensions
9.33 x 6.38 x 1.09 inches
Weight
1.62 pounds

ID Numbers

Open Library
OL3488838M
Internet Archive
understandingrob0000unse
ISBN 10
0471097772
ISBN 13
978-0471097778
LCCN
82008528
OCLC/WorldCat
473252998, 8495063
Google
JY4_AQAAIAAJ
Library Thing
447862
Hathi Trust
000312154
Amazon ID (ASIN)
0471097772
Goodreads
2547110

Work Description

This book is a classic. Even though it was written prior to the personal computer revolution, it's relevance is strong. The authors are fantastic at giving the reader a true feel for the analytical tools and approaches. This may not be a how-book for today, since many of the tools are now pre-programmed into software packages, but it is an excellent resource for developing the -intuitive- feeling of the subject.

The Wiley Classics Library consists of selected books that have become recognized classics in their respective fields. With these new unabridged and inexpensiveeditions, Wiley hopes to extend the life of these important works by making themavailable to future generations of mathematicians and scientists.

Links outside Open Library

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History

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December 11, 2023 Edited by MARC Bot import existing book
October 18, 2022 Edited by ImportBot import existing book
March 7, 2022 Edited by kd5tvi Edited without comment.
March 7, 2022 Edited by kd5tvi Edited without comment.
February 4, 2019 Created by MARC Bot import existing book