Description: Understanding Robust and Exploratory Data Analysis, Paperback by Hoaglin, David C. (EDT); Mosteller, Frederick (EDT); Tukey, John Wilder; Tukey, John Wilder (EDT), ISBN 0471384917, ISBN-13 9780471384915, Like New Used, Free shipping in the US With a dozen chapters aimed at readers of a broad standard deviation of mathematical sophistication, this collection by notables in the field explains the less-than- transparent connections of robust techniques and exploratory data analysis with classical statistical theory. Topics include: stem-and-leaf displays, letter values of ordered observations (as an alternative to the sample mean and standard deviation), boxplots and batch comparisons, mathematical aspects of transformation, and robust estimators. Includes the original preface, and chapter-end exercises without an answer key. Hoaglin and Mosteller are with Harvard U.; Tukey is at Princeton U. and Bell Laboratories. The volume evolved from a Harvard working group begun in 1977, which spawned other classics focusing more on illustrating these techniques. Annotation c. Book News, Inc., Portland, OR ()
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Book Title: Understanding Robust and Exploratory Data Analysis
Number of Pages: 480 Pages
Language: English
Publication Name: Understanding Robust and Exploratory Data Analysis
Publisher: Wiley & Sons, Incorporated, John
Publication Year: 2000
Subject: Probability & Statistics / General
Item Height: 1.1 in
Item Weight: 23.7 Oz
Type: Textbook
Author: Frederick Mosteller
Item Length: 9.1 in
Subject Area: Mathematics
Item Width: 6 in
Series: Wiley Classics Library
Format: Trade Paperback
