A Statistical Model

A large number of Mostellar's friends, colleagues, collaborators, and former students have contributed to the preparation of this volume in honor of his 70th birthday. It provides a critical assessment of Mosteller's professional and research contributions to the field of statistics and its applications.

Résumé
A large number of Mostellar's friends, colleagues, collaborators, and former students have contributed to the preparation of this volume in honor of his 70th birthday. It provides a critical assessment of Mosteller's professional and research contributions to the field of statistics and its applications.

Contenu
1 Biography.- 2 Bibliography.- Books.- Papers.- Miscellaneous.- Reviews.- 3 Contributions as a Scientific Generalist.- 3.1 Background.- 3.2 Creation and Generalization within Statistics.- 3.3 Overlaps between Statistics and Other Domains.- 3.4 Establishing Links among Nonstatistical Fields.- 3.5 Links between Research and Applications.- 3.6 Formation of New Fields of Inquiry.- 3.7 Encouragement of Other Scholars.- 3.8 Institutional Leadership in Science.- Appendix 1: The Mosteller Years at AAAS.- Appendix 2: Resolution Adopted by the Board of Trustees of the Russell Sage Foundation.- 4 Contributions to Mathematical Statistics.- 4.1 Systematic Statistics.- 4.2 Slippage Tests: The Problem of the Greatest One.- 4.3 Stochastic Models for Learning.- 4.4 Products of Random Matrices, Computer Image Generation, and Computer Learning.- 4.5 Number TheoryStatistics for the Love of It.- References.- 5 Contributions to Methodology and Applications.- 5.1 Introduction.- 5.2 Public Opinion Polls and Other Survey Data.- 5.3 Quality Control.- 5.4 On Pooling Data.- 5.5 Thurstone-Mosteller Model for Paired Comparisons.- 5.6 Measuring Utility.- 5.7 Measuring Pain.- 5.8 The Analysis of Categorical Data.- 5.9 Statistics and Sports.- 5.10 The Jackknife.- 5.11 Meta-Analysis in the Social and Medical Sciences.- 5.12 Summary.- Appendix: Frederick Mosteller, Social Science, and the Meta-Analytic Age.- References.- 6 Fred as Educator.- 6.1 Precollege EducationAdvocacy and Action.- 6.2 Face-to-Face Teaching in Traditional and Nontraditional Settings.- 6.3 On Teaching Teachers.- 6.4 Evaluating Education and Evaluating Educational Evaluations.- 6.5 The Learning ProcessResearch, Teaching, and Practice.- 6.6 Continuing Education.- References.- 7 Fred at Harvard.- 7.1 Introduction.- 7.2 Inthe Department of Social Relations.- 7.3 In the Department of Statistics.- 7.4 In the Kennedy School of Government and the Law School.- 7.5 In the School of Public Health.- 7.6 The Statistician's Guide to Exploratory Data Analysis.- 7.7 Epilogue.- Appendix: Excerpts from Some Topics of Interest to Graduate Students in Statistics.- References.- 8 Reviews of Book Contributions.- Sampling Inspection, W. Allen Wallis.- The Pre-Election Polls of 1948, Richard F. Link.- Statistical Problems of the Kinsey Report, James A. Davis.- Stochastic Models for Learning, Paul W. Holland.- Probability with Statistical Applications, Emanuel Parzen.- The Federalist, John W. Pratt.- Fifty Challenging Problems in Probability, Joseph I. Naus.- On Equality of Educational Opportunity, Richard J. Light.- Federal Statistics, Yvonne M. Bishop.- National Assessment of Educational Progress, Lyle V. Jones.- Statistics: A Guide to the Unknown, Gudmund R. Iversen.- Sturdy Statistics, Ralph B. D'Agostino.- Statistics by Example, Janet D. Elashoff.- Weather and Climate Modification, Michael Sutherland.- Costs, Risks, and Benefits of Surgery, Howard H. Hiatt.- Statistics and Public Policy, Michael A. Stoto.- Data Analysis and Regression, Sanford Weisberg.- Data for Decisions, William B. Fairley.- Statistician's Guide to Exploratory Data Analysis, Persi Diaconis.- Beginning Statistics with Data Analysis, John D. Emerson.- Biostatistics in Clinical Medicine, Joel C. Kleinman.