Del i serien Springer Series in Statistics

Statistical Model

Frederick Mosteller’s Contributions to Statistics, Science, and Public Policy

Häftad, Engelska, 2011

AvStephen E. Fienberg,David C. Hoaglin,William H. Kruskal,Judith M. Tanur

709 kr

Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt för medlemmar vid köp för minst 249 kr.

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.

Produktinformation

Utgivningsdatum2011-09-26
Mått155 x 235 x 18 mm
Vikt482 g
FormatHäftad
SpråkEngelska
SerieSpringer Series in Statistics
Antal sidor283
FörlagSpringer-Verlag New York Inc.
ISBN9781461279921

Tillhör följande kategorier

Tillämpad matematik inom Naturvetenskap och teknik

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 Theory—Statistics 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 Education—Advocacy 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 Process—Research, 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.