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Springer Statistics : Springer Series in Statistics - Stephen E. Fienberg

Springer Statistics

By: Stephen E. Fienberg (Editor), David C. Hoaglin (Editor)

Hardcover | 3 August 2006

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Frederick Mosteller has inspired numerous statisticians and other scientists by his creative approach to statistics and its applications. This volume brings together 40 of his most original and influential papers, capturing the variety and depth of his writings. The editors hope to share these with a new generation of researchers, so that they can build upon his insights and efforts.

This volume of selected papers is a companion to the earlier volume A Statistical Model: Frederick Mosteller's Contributions to Statistics, Science, and Public Policy, edited by Stephen E. Fienberg, David C. Hoaglin, William H. Kruskal, and Judith M. Tanur (Springer-Verlag, 1990), and to Mosteller's forthcoming autobiography, which will also be published by Springer-Verlag. It includes a biography and a comprehensive bibliography of Mosteller's books, papers, and other writings.

Stephen E. Fienberg is Maurice Falk University Professor of Statistics and Social Science, in the Departments of Statistics and Machine Learning at Carnegie Mellon University, Pittsburgh, PA. David C. Hoaglin is Principal Scientist at Abt Associates Inc., Cambridge, MA.

Industry Reviews

From the reviews:

"By selecting such a wide range of topics, the Editors provide an excellent source of information on many interesting statistical issues, and a valuable reminder of the value of statistical thinking to a wide variety of important problems." S.W. Lagakos for Short Book Reviews of the ISI, December 2006

"Frederick Mosteller (FM), an eminent and inspiring statistician, was still an active researcher in his 90th year of life ... . I remain certain that most Technometrics readers ... will benefit from this fine collection of FM papers spanning six decades. I must congratulate the editors for doing a fine job ... . I believe this volume will be a welcome addition to the library/desk of any academic and professional statistician, and will be beneficial to the next generation of statisticians!" (Technometrics, Vol. 49 (2), 2007)

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