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

(Editor), Frederick Mosteller; (Editor), John W. Tukey; Hoaglin, David C.

ISBN 10: 0471097764 / ISBN 13: 9780471097761

Published by Wiley, New York

About this Item

This hardcover edition of "Exploring Data Tables, Trends, and Shapes" is in Near Fine/VG+ condition, accompanied by a dust jacket in Very Good condition. The covers are in excellent shape, and the binding is square and tight. Although there's an organization stamp neatly marked out on the first page and minor abrasion to the title page, the interior pages are otherwise clean and unmarked. The crisp dust jacket adds to the overall presentation. The book will be meticulously packaged for shipment to ensure protection during transit, with a USPS electronic tracking number provided free of charge. For more information or pictures, please don't hesitate to contact us.Part of the Wiley-Interscience Hardcover Series, this volume offers major advances in exploratory data analysis and robust regression methods, presenting techniques that are not commonly available. It relates these methods to classical approaches and highlights their role in the data-analytic process. The book includes chapters on fitting by organized comparisons using the square combining table, resistant nonadditive fits for two-way tables, and identifying extreme cells in contingency tables using probabilistic and exploratory approaches. Additionally, it features a chapter on using robust regression in less technical language, making it accessible to a wider audience. Conceptual support for each technique is provided, making it a valuable reference for researchers and statisticians.

Seller Inventory # 16390

Bibliographic Details

• Title: Exploring Data Tables, Trends, and Shapes (Wiley Series in Probability and Statistics)
• Publisher: Wiley, New York
• Language: English
• ISBN 10: 0471097764
• ISBN 13: 9780471097761
• Binding: Hardcover
• Edition: First Edition.
• Condition: Very Good
• Dust Jacket Condition: Very Good

About this title

Synopsis

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.

From the Publisher

Presents major advances in exploratory data analysis and robust regression methods not generally available, and explains the techniques, relating them to classical methods. Covers the role of exploratory and robust techniques in the overall data-analytic enterprise, and new methods such as fitting by organized comparisons using the square combining table, resistant nonadditive fits for two-way tables, identifying extreme cells in a sizable contingency table with probabilistic and exploratory approaches. Features a chapter on using robust regression in less technical language than available elsewhere. Offers conceptual support for each technique.