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Understanding Robust and Exploratory Data Analysis

Understanding Robust and Exploratory Data Analysis

by David C. Hoaglin, Frederick Mosteller, John Wilder Tukey

Mathematical statisticsRobust statisticsData analysisLinear modelsStatistics, data processing
0.0
Open Library
Open Library

About this book

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.

Themes & subjects

Mathematical statisticsRobust statisticsData analysisLinear modelsStatistics, data processingMathematics, data processing

About the authors

David C. Hoaglin

1944

Frederick Mosteller
Frederick Mosteller

24 December 1916 – 23 July 2006

John Wilder Tukey

1915 – 2000

American mathematician and statistician, best known for the development of the fast Fourier Transform (FFT) algorithm and box plot. The Tukey range test, the Tukey lambda distribution, the Tukey test of additivity, and the Teichmüller–Tukey lemma all bear his name.

Authors

David C. Hoaglin, Frederick Mosteller, John Wilder Tukey

Pages

447

Read time

≈ 11h

Editions

3

Language

English

Publisher

Wiley-Interscience

ISBN

9780471384915

Where to buy

TR
Amazon Bookshop

Around the web

Internet Archive

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