Selected papers of Frederick Mosteller
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...
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| Altres autors: | , |
| Format: | Livre numérique |
| Idioma: | Anglais |
| Publicat: |
New York, NY :
Springer New York
[20..].
Cham : Springer Nature |
| Edició: | 1st ed. 2006. |
| Col·lecció: | Springer Series in Statistics
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| Matèries: | |
| Accés en línia: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nota: |
Description d'après consultation du 21 avril 2011 Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Selected papers of Frederick Mosteller, Stephen E. Fienberg, David C. Hoaglin, editors, New York, Springer, 2006, 1 vol. (X-660 p.), Springer series in statistics, 0-387-20271-4 |
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| 100 | 1 | |a Fienberg, Stephen E. | |
| 245 | 1 | 0 | |a Selected papers of Frederick Mosteller |c Stephen E. Fienberg, David C. Hoaglin (eds.). |
| 250 | |a 1st ed. 2006. | ||
| 260 | |a New York, NY : |b Springer New York. | ||
| 260 | |a Cham : |b Springer Nature, |c [20..]. | ||
| 490 | 0 | |a Springer Series in Statistics |x 2197-568X | |
| 500 | |a Description d'après consultation du 21 avril 2011 | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 504 | |a Notes bibliogr. en fin de chapitres. Bibliogr. p. 7-55 | ||
| 505 | 1 | |a Frederick Mosteller A Brief Biography Unbiased Estimates for Certain Binomial Sampling Problems with Applications On Some Useful Inefficient Statistics A k-Sample Slippage Test for an Extreme Population The Uses and Usefulness of Binomial Probability Paper The Education of a Scientific Generalist Remarks on the Method of Paired Comparisons: I. The Least Squares Solution Assuming Equal Standard Deviations and Equal Correlations Remarks on the Method of Paired Comparisons: II. The Effect of an Aberrant Standard Deviation When Equal Standard Deviations and Equal Correlations Are Assumed Remarks on the Method of Paired Comparisons: III. A Test of Significance for Paired Comparisons when Equal Standard Deviations and Equal Correlations Are Assumed An Experimental Measurement of Utility A Mathematical Model for Simple Learning A Model for Stimulus Generalization and Discrimination The World Series Competition Principles of Sampling Stochastic Models for the Learning Process Factorial 1/2: A Simple Graphical Treatment A Comparison of Eight Models Optimal Length of Play for a Binomial Game Tables of the Freeman-Tukey Transformations for the Binomial and Poisson Distributions Understanding the Birthday Problem Recognizing the Maximum of a Sequence The Distribution of Sums of Rounded Percentages The Expected Coverage to the Left of the ith Order Statistic for Arbitrary Distributions Bias and Runs in Dice Throwing and Recording: A Few Million Throws An Empirical Study of the Distribution of Primes and Litters of Primes A Conversation About Collins Statistics and Ethics in Surgery and Anesthesia Experimentation and Innovations New Statistical Methods in Public Policy. Part I: Experimentation Classroom and Platform Performance The Clinician s Responsibility for Helping to Improve the Treatment of Tomorrow s Patients Innovation and Evaluation Combination of Results of Stated Precision: I. The Optimistic Case Combination of Results of Stated Precision: II. A More Realistic Case Allocating Loss of Precision in the Sample Mean to Wrong Weights and Redundancy in Sampling with Replacement from a Finite Population Reporting Clinical Trials in General Surgical Journals Compensating for Radiation-Related Cancers by Probability of Causation or Assigned Shares Methods for Studying Coincidences A Modified Random-Effect Procedure for Combining Risk Difference in Sets of 2 . 2 Tables from Clinical Trials The Case for Smaller Classes and for Evaluating What Works in the Schoolroom Frederick Mosteller and John W. Tukey: A Conversation | |
| 506 | |a Accès en ligne pour les établissements français bénéficiaires des licences nationales | ||
| 506 | |a Accès soumis à abonnement pour tout autre établissement | ||
| 506 | |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 | ||
| 520 | |a 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 | ||
| 600 | |a Mosteller, Frederick, |d 1916-2006 | ||
| 650 | |a Statistiques |x Mathématiques | ||
| 700 | 1 | |a Fienberg, Stephen E., |d 1942-2016. |4 edt | |
| 700 | 1 | |a Hoaglin, David Caster, |d 1944- |4 edt | |
| 776 | 0 | |0 112838839 |t Selected papers of Frederick Mosteller |f Stephen E. Fienberg, David C. Hoaglin, editors |c New York |n Springer |d 2006 |p 1 vol. (X-660 p.) |s Springer series in statistics |z 0-387-20271-4 | |
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