This text explains the necessity for and uses of both exploratory data analysis and robust and resistant methods in statistical practice. Edited by pre-eminent statisticians, it provides the conceptual, logical, and sometimes mathematical support for the more basic techniques of these methods. Editor(s): Hoaglin, David C.; Mosteller, Frederick; Tukey, John Wilder; John W. Tukey (Professor Emeritus, Princeton University, USA). Series: Wiley Classics Library. Num Pages: 472 pages, Illustrations. BIC Classification: PBT. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 231 x 152 x 28. Weight in Grams: 661. . 2000. 1st Edition. Paperback. . . . . Books ship from the US and Ireland.

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Bibliografische Details

Titel: Understanding Robust and Exploratory Data Analysis
Verlag: John Wiley and Sons Ltd
Erscheinungsjahr: 2000
Sprache: Englisch
ISBN-10: 0471384917
ISBN-13: 9780471384915
Einband: Softcover
Zustand: New

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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.

�ber die Autorin bzw. den Autor

DAVID C. HOAGLIN, PhD, is a Fellow of the American Statistical Association.

FREDERICK MOSTELLER, PhD, has been the recipient of several honorary degrees and is a former President of the American Statistical Association.

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