Exploring Data Tables, Trends, and Shapes (Wiley Series in Probability and Statistics)

David C. Hoaglin; Frederick Mosteller; John W. Tukey

ISBN 10: 0471097764 / ISBN 13: 9780471097761

Edité par Wiley, 1985

A propos de cet article

Minimal wear, but does have some spotting/soiling to outside page edges. Inside pages are clean and tight. No writing or marking. N° de réf. du vendeur 3782

Détails bibliographiques

Titre : Exploring Data Tables, Trends, and Shapes (...

Éditeur : Wiley

Date d'édition : 1985

Reliure : Hardcover

Etat : Good

Etat de la jaquette : No Jacket

A propos de ce titre

Synopsis :

Presenting major advances in exploratory data analysis and robust regression methods not generally available, this book explains the techniques, relating them to classical methods. It covers the role of exploratory and robust techniques in the overall data-analytic enterprise. Also covered are new methods such as fitting by organized comparisons using the square combining table, resistant non-additive fits for two-way tables, 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, and offers conceptual support for each technique.

Présentation de l'éditeur:

WILEY–INTERSCIENCE PAPERBACK SERIES

The Wiley–Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians, and scientists.

"Exploring Data Tables, Trends, and Shapes (EDTTS) was written as a companion volume to the same editors′ book, Understanding Robust and Exploratory Data Analysis (UREDA). Whereas UREDA is a collection of exploratory and resistant methods of estimation and display, EDTTS goes a step further, describing multivariate and more complicated techniques . . . I feel that the authors have made a very significant contribution in the area of multivariate nonparametric methods. This book [is] a valuable source of reference to researchers in the area."
Technometrics

"This edited volume . . . provides an important theoretical and philosophical extension to the currently popular statistical area of Exploratory Data Analysis, which seeks to reveal structure, or simple descriptions, in data . . . It is . . . an important reference volume which any statistical library should consider seriously."
The Statistician

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.