Synopses & Reviews
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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Review
"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
About the Author
David R. Brillinger is Professor of Statistics at the University of California at Berkeley. He is the author of "Time Series: Data Analysis and Theory". Luisa T. Fernholz is Associate Professor of Statistics at Temple University and Director of the Minerva Research Foundation. She is the author of" von Mises Calculus for Statistical Functionals". Stephan Morgenthaler is Professor of Mathematics at the Swiss Federal Institute of Technology in Lausanne. He is the coeditor of "Configural Polysampling".
Table of Contents
| 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 |