This collection of articles brings together many of the world's most distinguished statisticians to discuss a wide range of recent developments in data analysis. The book honors John W. Tookie, one of the most influential statisticians of the 20th century, on his 80th birthday.
Contributors, some of them former Tukey students, use their general theoretical work and specific contributions to exploratory data analysis as a starting point for their papers. They cover topics such as "pure" data analysis, such as gothic transfers and regression estimates, and "applied" topics, such as the best way to arrange chess players or estimate the abundance of birds in a given area.
Tukey may be famous for the term "bit", a binary number, but his broader work has revolutionized the way statisticians think and analyzed sets of data. In an interview opening the book, these unusual contributions and life are reviewed through humility, humor and intelligence.
The book will be valuable for researchers and students interested in analyzing current theoretical and practical data and as evidence of the lasting impact of Toky. Articles 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 The Princeton Legacy Library uses the latest in-on-demand printing technology to once again provide previously unpublished books from the Princeton Princeton Print Background List.
These versions preserve the original texts of these important books as they are presented in consistent versions of paperback and printed copies. The Princeton Legacy Library aims to increase access to the rich scientific heritage found in thousands of books published by Princeton University Press since its founding in 1905..
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