John W. Tukey

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The description for this book, Convergence and Uniformity in Topology. (AM-2), Volume 2, will be forthcoming.

Convergence and Uniformity in Topology

Frederick Mosteller

David C. Hoaglin

WILEY-INTERSCIENCE PAPERBACK SERIES The Wiley-Interscience Paperback Series consists ofselected books that have been made more accessible to consumers inan effort to increase global appeal and general circulation. Withthese new unabridged softcover volumes, Wiley hopes to extend thelives of these works by making them available to future generationsof statisticians, mathematicians, and scientists. "Exploring Data Tables, Trends, and Shapes (EDTTS) waswritten as a companion volume to the same editors' book,Understanding Robust and Exploratory Data Analysis (UREDA). WhereasUREDA is a collection of exploratory and resistant methods ofestimation and display, EDTTS goes a step further, describingmultivariate and more complicated techniques . . . I feel that theauthors have made a very significant contribution in the area ofmultivariate nonparametric methods. This book [is] a valuablesource of reference to researchers in the area." —Technometrics "This edited volume . . . provides an important theoretical andphilosophical extension to the currently popular statistical areaof Exploratory Data Analysis, which seeks to reveal structure, orsimple descriptions, in data . . . It is . . . an importantreference volume which any statistical library should considerseriously." —The Statistician This newly available and affordably priced paperback version ofExploring Data Tables, Trends, and Shapes presents majoradvances in exploratory data analysis and robust regression methodsand explains the techniques, relating them to classical methods.The book addresses the role of exploratory and robust techniques inthe overall data-analytic enterprise, and it also presents newmethods such as fitting by organized comparisons using the squarecombining table and identifying extreme cells in a sizablecontingency table with probabilistic and exploratory approaches.The book features a chapter on using robust regression in lesstechnical language than available elsewhere. Conceptual support foreach technique is also provided.

Exploring Data Tables, Trends, and Shapes

The analysis of variance is presented as an exploratory component of data analysis, while retaining the customary least squares fitting methods. Balanced data layouts are used to reveal key ideas and techniques for exploration. The approach emphasizes both the individual observations and the separate parts that the analysis produces. Most chapters include exercises and the appendices give selected percentage points of the Gaussian, t, F chi-squared and studentized range distributions.

Fundamentals of Exploratory Analysis of Variance

Stephan Morgenthaler

Provides a broad readership--both novice and advanced students and researchers--with a solid introduction to conditional thinking in a robust setting. Using a minimum of mathematics, it considers three types of parameters: location, scale and regression slopes. Recognizing their importance to performance evaluation, the book focuses on confrontations of a small number of suitably disparate shapes as well as on invariance.

John W. Tukey

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