Statistics In The 21st Century - Raftery Adrian-E

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Résumé :
Exactly what is the state of the art in statistics as we moue forward into the 21st century? What promises, what trends does its future hold? Through the reflections of 70 of the world's leading statistical methodologists, researchers, theorists, and practitioners, Statistics in the 21st Century answers those questions. Originally published in the Journal of the American Statistical Association, this collection of vignettes examines our statistical past, comments on our present, and speculates on our future. Although the coverage is broad and the topics diverse, it reveals the essential intellectual unity of the field as we see the same themes recurring in different contexts. We see how the development of statistics bas been driven by the unprecedented and still growing range of applications, by the explosion in computer technology, and by the new types of data that continue to emerge and advance the discipline. Extensive author and subject indices and an introductory overview by the editors make Statistics in the 21st Century an important statistics reference not just for this discipline but for the many other fields that rely on its methods and results. Organized around major areas of application that lead up to vignettes on theory and methods, it forms a landmark record of the progress and perceived future of the discipline. No student, researcher, or practitioner of statistics should miss this extraordinary opportunity to view the past, present, and future world of statistics through the eyes of its foremost thinkers.

Biographie:
Adrian E. Raftery is Professor of Statistics and Sociology and Director of the Center for Statistics and the Social Sciences at the University of Washington, Seattle, U.S.A. Martin A. Tanner is Professor of Statistics at Northwestern University, Evanston, Illinois, U.S.A. Martin T. Wells is Professor of Social Statistics at Cornell University, Ithaca, New York, U.S.A.

Sommaire:
["Statistics in the life and medical sciences","Statistics in business and social science","Statistics in the physical sciences and engineering","Theory and methods of statistics"]