
The Practice of Data Analysis
Essays in Honor of John W. Tukey
Princeton University Press
Will be published approx. on 19. April 2016
Book
Hardback
352 pages
978-0-691-63124-0 (ISBN)
Description
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. The Princeton Legacy Library uses the latest print-on-demand technology to again make available previously out-of-print books from the distinguished backlist of Princeton University Press. These editions preserve the original texts of these important books while presenting them in durable paperback and hardcover editions. The goal of the Princeton Legacy Library is to vastly increase access to the rich scholarly heritage found in the thousands of books published by Princeton University Press since its founding in 1905.
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. The Princeton Legacy Library uses the latest print-on-demand technology to again make available previously out-of-print books from the distinguished backlist of Princeton University Press. These editions preserve the original texts of these important books while presenting them in durable paperback and hardcover editions. The goal of the Princeton Legacy Library is to vastly increase access to the rich scholarly heritage found in the thousands of books published by Princeton University Press since its founding in 1905.
Reviews / Votes
"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 AssociationMore details
Series
Language
English
Place of publication
New Jersey
United States
Target group
College/higher education
Professional and scholarly
Product notice
Trade binding
Illustrations
10 halftones 1 frontispiece
Dimensions
Height: 240 mm
Width: 161 mm
Thickness: 23 mm
Weight
693 gr
ISBN-13
978-0-691-63124-0 (9780691631240)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

David R. Brillinger | Luisa T. Fernholz | Stephan Morgenthaler
The Practice of Data Analysis
Essays in Honor of John W. Tukey
E-Book
07/2014
1st Edition
Princeton University Press
€79.49
Available for download
Persons
Edited by David R. Brillinger, Luisa T. Fernholz, & Stephan Morgenthaler
Content
PrefaceIntroductory Remarks3Biographical Information5Curriculum Vitae of John Wilder Tukey9Ph.D. Theses Directed by John W. Tukey: Princeton University, 1940-199016Partial List of John W. Tukey's Grandstudents19A Conversation with John W. Tukey26Elizabeth Tukey's Speech46Program of the Conference in Honor of John W. Tukey on His 80th Birthday48List of Participants49Errors-in-Variables Regression Estimators That Have High Breakdown and High Gaussian Efficiency57The Analytic Jackknife67Assessing Connections in Networks of Biological Neurons77Estimating Abundances for a Breeding Bird Atlas93Statistical 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 Nonindependence101Some Additional Notes on the "Princeton Robustness Year"133Tracking Chees Players' Abilities155Speculations on the Path of Statistics175A Regression Analysis with Categorical Covariables, Two-way Heteroscedasticity, and Hidden Outliers193Mean Square over Degrees of Freedom: New Perspectives on a Model Selection Treasure203Geographical Trends in Cancer Mortality: Spatial Smoothers and Adjustment217Covering Designs in Random Environments235Gaussianizing Transformations and Estimation247The Tennessee Study of Class Size in the Early School Grades261On the Distribution of Order Statistics from a p-wild Distribution279Resistant Modelling of Income Distributions and Inequality Measures287Bonus Decompositions for Robust Analysis of 2[superscript n] Factorial Experiments299The 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 Birthday317