Understanding Robust and Exploratory Data Analysis
1st Edition
Published on 14. June 2000
Book
Paperback/Softback
480 pages
978-0-471-38491-5 (ISBN)
Description
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.
Reviews / Votes
"With a dozen chapters aimed at readers of a broad standarddeviation of mathematical sophistication, this collection bynotables in the field explains...connection of robust techniquesand exploratory data analysis..." (SciTech Book News, Vol. 24, No.4, December 2000)"As a tribute to the long-lasting impact of this collection ofpapers, the editors...decided to add Understanding Robust andExploratory Data Analysis to its Classic Library series...to extendthe life of this important work by making it available to futuregenerations of statisticians." (Journal of the American StatisticalAssociation, September 2001)
More details
Series
Language
English
Place of publication
United States
Publishing group
John Wiley & Sons Inc
Target group
College/higher education
Professional and scholarly
Product notice
Paperback (trade)
Unsewn / adhesive bound
Cloth over boards
Dimensions
Height: 229 mm
Width: 152 mm
Thickness: 27 mm
Weight
754 gr
ISBN-13
978-0-471-38491-5 (9780471384915)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
David C. Hoaglin | Frederick Mosteller | John Wilder Tukey
Understanding Robust and Exploratory Data Analysis
Book
12/1982
Wiley
€86.66
Article exhausted; check different version
Persons
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.
FREDERICK MOSTELLER, PhD, has been the recipient of several honorary degrees and is a former President of the American Statistical Association.
Content
Stem-and-Leaf Displays (J. Emerson & D. Hoaglin).
Letter Values: A Set of Selected Order Statistics (D.Hoaglin).
Boxplots and Batch Comparison (J. Emerson & J. Strenio).
Transforming Data (J. Emerson & M. Stoto).
Resistant Lines for y Versus x (J. Emerson & D. Hoaglin).
Analysis of Two-Way Tables by Medians (J. Emerson & D.Hoaglin).
Examining Residuals (C. Goodall).
Mathematical Aspects of Transformation (J. Emerson).
Introduction to More Refined Estimators (D. Hoaglin, et al.).
Comparing Location Estimators: Trimmed Means, Medians, and Trimean(J. Rosenberger & M. Gasko).
M-Estimators of Location: An Outline of the Theory (C.Goodall).
Robust Scale Estimators and Confidence Intervals for Location (B.Iglewicz).
Index.
Letter Values: A Set of Selected Order Statistics (D.Hoaglin).
Boxplots and Batch Comparison (J. Emerson & J. Strenio).
Transforming Data (J. Emerson & M. Stoto).
Resistant Lines for y Versus x (J. Emerson & D. Hoaglin).
Analysis of Two-Way Tables by Medians (J. Emerson & D.Hoaglin).
Examining Residuals (C. Goodall).
Mathematical Aspects of Transformation (J. Emerson).
Introduction to More Refined Estimators (D. Hoaglin, et al.).
Comparing Location Estimators: Trimmed Means, Medians, and Trimean(J. Rosenberger & M. Gasko).
M-Estimators of Location: An Outline of the Theory (C.Goodall).
Robust Scale Estimators and Confidence Intervals for Location (B.Iglewicz).
Index.