Selected Papers of Frederick Mosteller (eBook)
X, 660 Seiten
Springer New York (Verlag)
978-0-387-44956-2 (ISBN)
One of the best known statisticians of the 20th century, Frederick Mosteller has inspired numerous statisticians and other scientists by his creative approach to statistics and its applications. This volume collects 40 of his most original and influential papers, capturing the variety and depth of his writings. It is hoped that sharing these writings with a new generation of researchers will inspire them to build upon his insights and efforts.
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.
Unbiased estimates for certain binomial sampling problems with applications , M.A. Girshick, Frederick Mosteller, L.J. Savage.- On some useful 'inefficient' statistics, Frederick Mosteller.- A k-sample slippage test for an extreme population, Frederick Mosteller.- The uses and usefulness of binomial probability paper, Frederick Mosteller, John W. Tukey.- The education of a scientific generalist, Hendrik Bode, Frederick Mosteller, John W. Tukey, Charles Winsor.- Remarks on the method of paired comparisons: I. The least squares solution assuming equal standard deviations and equal correlations, Frederick Mosteller.- Remarks on the method of paired comparisons: II. The effect of an aberrant standard deviation when equal standard deviations and equal correlations are assumed, Frederick Mosteller.- Remarks on the method of paired comparisons: III. A test of significance for paired comparisons when equal standard deviations and equal correlations are assumed, Frederick Mosteller.- An experimental measurement of utility, Frederick Mosteller, Philip Nogee.- A mathematical model for simple learning, Robert R. Bush, Frederick Mosteller.- A model for stimulus generalization and discrimination, Robert R. Bush, Frederick Mosteller.- The World Series competition, Frederick Mosteller.- Principles of sampling, William G. Cochran, Frederick Mosteller, John W. Tukey.- Stochastic models for the learning process, Frederick Mosteller.- Factorial ½: A simple graphical treatment, Frederick Mosteller, D.E. Richmond.- A comparison of eight models, Robert R. Bush, Frederick Mosteller.- Optimal length of play for a binomial game, Frederick Mosteller.- Tables of the Freeman-Tukey transformations for the binomial and poisson distributions, Frederick Mosteller, Cleo Youtz.- Understanding the birthday problem, Frederick Mosteller.- Recognizing the maximum of a sequence, John P. Gilbert, Frederick Mosteller.- The distribution of sums of rounded percentages, Frederick Mosteller, CleoYoutz, Douglas Zahn.- The expected coverage to the left of the ith order statistic for arbitrary distributions, Barry H. Margolin, Frederick Mosteller.- Bias and runs in dice throwing and recording: A few million throws, Gudmund R. Iversen, Willard H. Longcor, Frederick Mosteller, John P. Gilbert, Cleo Youtz.- An empirical study of the distribution of primes and litters of primes, Frederick Mosteller.- A conversation about Collins, William B. Fairley, Frederick Mosteller.- Statistics and ehics in surgery and anesthesia, John P. Gilbert, Bucknam McPeek, Frederick Mosteller.- Experimentation and innovations, Frederick Mosteller.- New statistical methods in public policy. Part I: experimentation, Frederick Mosteller, Gale Mosteller.- Classroom and platform performance, Frederick Mosteller.- The clinician's responsibility for helping to improve the treatment of tomorrow's patients, Bucknam McPeek, John P. Gilbert, Frederick Mosteller.- Innovation and evaluation, Frederick Mosteller.- Combination of results of stated precision: I. The optimistic case, Frederick Mosteller, John W. Tukey.- Combination of results of stated precision: II. A more realistic case, Frederick Mosteller, John W. Tukey.- Allocating loss of precision in the sample mean to wrong weights and redundancy in sampling with replacement from a finite population, J.L. Hodges, Jr., Frederick Mosteller, Cleo Youtz.- Reporting clinical trials in general surgical journals, John D. Emerson, Bucknam McPeek, Frederick Mosteller.- Compensating for radiation-related cancers by probability of causation or assigned shares, Frederick Mosteller.- Methods for studying coincidences, Persi Diaconis, Frederick Mosteller.- A modified random-effect procedure for combining risk difference in sets of 2 × 2 tables from clinical trials, John D. Emerson, David C. Hoaglin, Frederick Mosteller.- The case for smaller classes and for evaluating what works in the schoolroom, Frederick Mosteller.- Frederick Mosteller and John
Erscheint lt. Verlag | 1.2.2007 |
---|---|
Reihe/Serie | Springer Series in Statistics | Springer Series in Statistics |
Zusatzinfo | X, 660 p. |
Verlagsort | New York |
Sprache | englisch |
Themenwelt | Geisteswissenschaften |
Mathematik / Informatik ► Mathematik ► Statistik | |
Mathematik / Informatik ► Mathematik ► Wahrscheinlichkeit / Kombinatorik | |
Medizin / Pharmazie | |
Sozialwissenschaften ► Pädagogik | |
Technik | |
Wirtschaft | |
Schlagworte | combining evidence • Evaluation • Experiment • linear optimization • machine learning • Mathematical Statistics • measure • Mosteller • Poisson distribution • Sets • statistical methodology • Statistical Methods • stochastic learning models • stochastic model • stochastic models |
ISBN-10 | 0-387-44956-6 / 0387449566 |
ISBN-13 | 978-0-387-44956-2 / 9780387449562 |
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