Exploring Data Tables, Trends, and Shapes

David C. Hoaglin - Collection Wiley Series in Probability and Statistics

526 pages, parution le 04/04/2006

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Résumé

This newly available and affordably priced paperback version of Exploring Data Tables, Trends, and Shapes presents major advances in exploratory data analysis and robust regression methods and explains the techniques, relating them to classical methods. The book addresses the role of exploratory and robust techniques in the overall data-analytic enterprise, and it also presents new methods such as fitting by organized comparisons using the square combining table and identifying extreme cells in a sizable contingency table with probabilistic and exploratory approaches. The book features a chapter on using robust regression in less technical language than available elsewhere. Conceptual support for each technique is also provided.

L'auteur - David C. Hoaglin

David C. Hoaglin, PhD, is a Fellow of the American Statistical Association.

Sommaire

Theories of Data Analysis: From Magical Thinking Through Classical Statistics
Fitting by Organized Comparisons: The Square Combining Table
Resistant Nonadditive Fits for Two-Way Tables
Three-Way Analyses
Identifying Extreme Cells in a Sizable Contingency Table: Probabilistic and Exploratory Approaches
Fitting Straight Lines by Eye
Resistant Multiple Regression, One Variable at a Time
Robust Regression
Checking the Shape of Discrete Distributions
Using Quantiles to Study Shape
Summarizing Shape Numerically: The g-AND-h Distributions
Index

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Caractéristiques techniques

	PAPIER
Éditeur(s)	Wiley
Auteur(s)	David C. Hoaglin
Collection	Wiley Series in Probability and Statistics
Parution	04/04/2006
Nb. de pages	526
Format	15,5 x 23,5
Couverture	Broché
Poids	731g
Intérieur	Noir et Blanc
EAN13	9780470040058
ISBN13	978-0-470-04005-8