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

Editore: Wiley, New York

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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. Codice articolo 16390

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

Casa editrice: Wiley, New York

Legatura: Hardcover

Condizione: Very Good

Condizione sovraccoperta: Very Good

Edizione: First Edition.

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Riassunto:

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.

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