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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.
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Previews available in: English
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Edition | Availability |
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1
Understanding Robust and Exploratory Data Analysis
January 15, 2000, Wiley-Interscience
in English
0471384917 9780471384915
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2
Understanding Robust and Exploratory Data Analysis
1983, Wiley
Paperback; Hardcover
in English
0471097772 9780471097778
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3
Understanding robust and exploratory data analysis. Edited by David Caster Hoaglin [and others]
Publish date unknown, Wiley & Sons
in English
0471097772 9780471097778
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Book Details
Table of Contents
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.
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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.
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Feedback?December 11, 2023 | Edited by MARC Bot | import existing book |
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February 4, 2019 | Created by MARC Bot | import existing book |