The Practice of Data Analysis: Essays in Honor of John W. Tukey - Rilegato

9780691057828: The Practice of Data Analysis: Essays in Honor of John W. Tukey

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ISBN 10: 0691057826 ISBN 13: 9780691057828

Casa editrice: Princeton Univ Pr, 1998

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This collection of essays brings together many of the world's most distinguished statisticians to discuss a wide array of the most important recent developments in data analysis. The book honors John W. Tukey, one of the most influential statisticians of the twentieth century, on the occasion of his eightieth birthday. Contributors, some of them Tukey's former students, use his general theoretical work and his specific contributions to Exploratory Data Analysis as the point of departure for their papers. They cover topics from "pure" data analysis, such as gaussianizing transformations and regression estimates, and from "applied" subjects, such as the best way to rank the abilities of chess players or to estimate the abundance of birds in a particular area.

Tukey may be best known for coining the common computer term "bit," for binary digit, but his broader work has revolutionized the way statisticians think about and analyze sets of data. In a personal interview that opens the book, he reviews these extraordinary contributions and his life with characteristic modesty, humor, and intelligence. The book will be valuable both to researchers and students interested in current theoretical and practical data analysis and as a testament to Tukey's lasting influence.

The essays are by Dhammika Amaratunga, David Andrews, David Brillinger, Christopher Field, Leo Goodman, Frank Hampel, John Hartigan, Peter Huber, Mia Hubert, Clifford Hurvich, Karen Kafadar, Colin Mallows, Stephan Morgenthaler, Frederick Mosteller, Ha Nguyen, Elvezio Ronchetti, Peter Rousseeuw, Allan Seheult, Paul Velleman, Maria-Pia Victoria-Feser, and Alessandro Villa.

Originally published in 1998.

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Recensione

"An eclectic but consistently stimulating collection of essays. . . . Students of statistics will find fresh ideas (and a few potential research topics). Those interested in data analysis will find provocative articles. All will find a remarkably diverse and readable book in which the wisdom/theorem ratio is unusually high."--Journal of the American Statistical Association

Contenuti

	Preface
	Introductory Remarks	3
	Biographical Information	5
	Curriculum Vitae of John Wilder Tukey	9
	Ph.D. Theses Directed by John W. Tukey: Princeton University, 1940-1990	16
	Partial List of John W. Tukey's Grandstudents	19
	A Conversation with John W. Tukey	26
	Elizabeth Tukey's Speech	46
	Program of the Conference in Honor of John W. Tukey on His 80th Birthday	48
	List of Participants	49
	Errors-in-Variables Regression Estimators That Have High Breakdown and High Gaussian Efficiency	57
	The Analytic Jackknife	67
	Assessing Connections in Networks of Biological Neurons	77
	Estimating Abundances for a Breeding Bird Atlas	93
	Statistical Methods, Graphical Displays, and Tukey's Ladder of Re-Expression in the Analysis of Nonindependence in Contingency Tables: Correspondence Analysis, Association Analysis, and the Midway View of Nonindependence	101
	Some Additional Notes on the "Princeton Robustness Year"	133
	Tracking Chees Players' Abilities	155
	Speculations on the Path of Statistics	175
	A Regression Analysis with Categorical Covariables, Two-way Heteroscedasticity, and Hidden Outliers	193
	Mean Square over Degrees of Freedom: New Perspectives on a Model Selection Treasure	203
	Geographical Trends in Cancer Mortality: Spatial Smoothers and Adjustment	217
	Covering Designs in Random Environments	235
	Gaussianizing Transformations and Estimation	247
	The Tennessee Study of Class Size in the Early School Grades	261
	On the Distribution of Order Statistics from a p-wild Distribution	279
	Resistant Modelling of Income Distributions and Inequality Measures	287
	Bonus Decompositions for Robust Analysis of 2[superscript n] Factorial Experiments	299
	The Philosophical Past and the Digital Future of Data Analysis: 375 Years of Philosophical Guidance for Software Design on the Occasion of John W. Tukey's 80th Birthday	317