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⇱ Amazon.com: Understanding Robust and Exploratory Data Analysis (Wiley Series in Probability and Statistics): 9780471097778: Hoaglin, David C., Mosteller, Frederick, Tukey, John W.: Books

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Understanding Robust and Exploratory Data Analysis (Wiley Series in Probability and Statistics)

by David C. Hoaglin (Editor), Frederick Mosteller (Editor), John W. Tukey (Editor) & 0 more Format: Hardcover
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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.
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  1. ISBN-10
    0471097772
  2. ISBN-13
    978-0471097778
  3. Edition
    1st
  4. Publisher
    Wiley
  5. Publication date
    December 21, 1982
  6. Part of series
  7. Language
    English
  8. Dimensions
    6.38 x 1.09 x 9.33 inches
  9. Print length
    448 pages
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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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Top reviews from the United States

  • Barry K
    5 out of 5 stars
    Outstanding treatment
    Reviewed in the United States on October 20, 2009
    Format: Paperback
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    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.

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👁 Understanding Robust and Exploratory Data Analysis (Wiley Series in Probability and Statistics)