Understanding Robust and Exploratory Data Analysis
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Contributions
- Hoaglin, David C. 1944- - Contributor
- Mosteller, Frederick, 1916- - Contributor
- Tukey, John Wilder, 1915- - Contributor
Publication
1983 - Wiley, New York, New York (State)
Language
English
Word Count
111,750 words, Guess
Page Count
447 pages
Physical Format
Paperback; Hardcover
Identifiers
- Internet Archiveunderstandingrob0000unse
- ISBN-100471097772
- ISBN-13978-0471097778
- ISBN-139780471097778
- Goodreads2547110
and 9 more
- GoogleJY4_AQAAIAAJ
- LibraryThing447862
- HathiTrust000312154
- Library of Congress Control Number82008528
- OCLC Control Number473252998
- OCLC Control Number8495063
- Better World Books9780471384915
- Better World Books9780471097778
- Open LibraryOL3488838M
Classifications
- DDC519.5
- LCCQA276 .U5 1983
- LCCQA276
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.
Description
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.
Subjects
Series Statement
- Wiley Series in Probability and Statistics
Links
Other Editions
- Understanding Robust and Exploratory Data Analysis
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