Bradley Efron

The twenty-first century has seen a breathtaking expansion of statistical methodology, both in scope and in influence. 'Big data', 'data science', and 'machine learning' have become familiar terms in the news, as statistical methods are brought to bear upon the enormous data sets of modern science and commerce. Meer

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Bradley Efron

The Jackknife, the Bootstrap, and Other Resampling Plans

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The jackknife and the bootstrap are nonparametric methods for assessing the errors in a statistical estimation problem. They provide several advantages over the traditional parametric approach: the methods are easy to describe and they apply to arbitrarily complicated situations; distribution assumptions, such as normality, are never made. Meer

Michael E. Sobel Adrian E. Raftery Martin A. Tanner D.R. Cox Martin T. Wells Nathaniel L. Beck N. Reid Theodore Eisenberg Valerie Isham Yu Xie R.J. Tibshirani Doug Nychka Howell Tong David Vere-Jones Niels Keiding Jorma Rissanen Peter E. Rossi Michael Browne Marion R. Reynolds Bradley Efron Lawrence D. Brown Robert Strawderman B.S. Weir Jerry Lawless Bin Yu Zachary G. Stoumbos Thomas P. Ryan William H. Woodall Bert Gunter Vijay Nair Mark Hansen Jan Shi Thomas A. Louis Joseph W. McKean Louise M. Ryan William S. Cleveland Leonard A. Stefanski Ronald Christensen Jianqing Fan John I Marden Bradley. P. Carlin George Casella James O. Berger Oliver Cappe Christian P. Robert Alan E. Gelfand Edward I. George Thomas P. Hettman Sperger Simon J. Sheather James P. Hobert Charles E. McCulloch Xiao-Li Meng Stephen Portnoy Xuming He James M. Robins Larry Wasserman Victor Solo Ehsan S. Soofi William E. Strawderman Norman E. Breslow David Oakes Sander Greenland Keneth H. Pollock Daniel Gianola Clarice R. Weinberg David B. Dunson Margaret Pepe Sullivan David P. Harrington Duncan C. Thomas Wing Hung Wong Mark P. Becker Andrew W. Lo Greg M. Allenby Ruey S. Tsay Stephen E. Fienberg Don X. Sun Daniel, J. Holder

Statistics in the 21st Century

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This volume discusses an important area of statistics and highlights the most important statistical advances. It is divided into four sections: statistics in the life and medical sciences, business and social science, the physical sciences and engineering, and theory and methods of statistics. Meer

Bradley Efron Bradley (Stanford University, California) Efron

Exponential Families in Theory and Practice

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During the past half-century, exponential families have attained a position at the center of parametric statistical inference. Theoretical advances have been matched, and more than matched, in the world of applications, where logistic regression by itself has become the go-to methodology in medical statistics, computer-based prediction algorithms, and the social sciences. Meer

Bradley Efron Bradley (Stanford University, California) Efron

Large-Scale Inference

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We live in a new age for statistical inference, where modern scientific technology such as microarrays and fMRI machines routinely produce thousands and sometimes millions of parallel data sets, each with its own estimation or testing problem. Meer

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