Providing cutting-edge perspectives and real-world insights into the greater utility of probability and its applications, the Handbook of Probability offers an equal balance of theory and direct applications in a non-technical, yet comprehensive, format. Editor Tamás Rudas and the internationally-known contributors present the material in a manner so that researchers of various backgrounds can use the reference either as a primer for understanding basic probability theory or as a more advanced research tool for specific projects requiring a deeper understanding. The wide-ranging applications…mehr
Providing cutting-edge perspectives and real-world insights into the greater utility of probability and its applications, the Handbook of Probability offers an equal balance of theory and direct applications in a non-technical, yet comprehensive, format. Editor Tamás Rudas and the internationally-known contributors present the material in a manner so that researchers of various backgrounds can use the reference either as a primer for understanding basic probability theory or as a more advanced research tool for specific projects requiring a deeper understanding. The wide-ranging applications of probability presented make it useful for scholars who need to make interdisciplinary connections in their work.
Tamas Rudas is the Head of the Department of Statistics and Dean of the Faculty of Social Sciences at Eotvos Lorand University (ELTE) in Budapest. He is also the Academic Director of the TARKI Social Research Centre. His main research area is statistics and its applications in the social sciences, especially the analysis of categorical data. He has published his work in many theoretical, applied, and methodological journals, including Annals of Statistics, Journal of the Royal Statistical Society, Sociological Methodology, Communication in Statistics, Journal of Educational and Behavioral Statistics, and Quality and Quantity. Dr. Rudas is also the author of Odds Ratios in the Analysis of Contingency Tables (Sage, 1998).
Inhaltsangabe
Preface Advisory Board Part I: Background and Theory of Probability 1. History of Probability Theory - Peter M. Lee 2. Frequentist Probability Theory - Herwig Friedl and Siegfried Hörmann 3. Subjective Probability - Igor Kopylov 4. Paradoxes in Probability Theory - Nicholas Shackel Part II: Probability Theory in Research Methodology 5. Probability Theory in Statistics - Tamás Rudas 6. The Bayesian Approach to Statistics - Anthony O'Hagan 7. Design of Experiments - Mauro Gasparini and Maria Piera Rogantin 8. Causation and Causal Inference: Defining, Identifying, and Estimating Causal Effects - Michael Sobel 9. Randomness and Computation - Oded Goldreich Part III: Applications 10. Time-Series Analysis - Michael Anthony Lewis 11. Survival Analysis - Nancy Brandon Tuma 12. Probabilistic Sampling - Jeffrey M. Wooldridge 13. Panel Studies - Edward W. Frees and Jee-Seon Kim 14. Probabilistic Methods in Surveys and Offical Statistics - Vasja Vehovar, Matka Zaletel, and Rudi Seljak 15. Probabilistic Models of Measurement Errors - Nicholas T. Longford 16. Statistical Models for the Development of Psychological and Educational Tests - Klaas Sijtsma and Wilco H. M. Emons 17. Probabilistic Simulation Models of Society - Klaus G. Troitzsch 18. Probabilistic Network Analysis - Philippa Pattison and Garry Robins 19. Gambling - Chas Friedman 20. Insurance - Richard A. Derrig and Krzysztof Ostaszewski 21. Credit Scoring - Ad Feelders 22. Investment Portfolios and Stock Pricing - Craig G. Rennie 23. Expert Systems - George Luger and Chayan Chakrabarti 24. Probability and Evidence - Julia Mortera and Philip Dawid 25. Probability in the Courtroom - Basil C. Bitas About the Editor About the Contributors Index
Preface Advisory Board Part I: Background and Theory of Probability 1. History of Probability Theory - Peter M. Lee 2. Frequentist Probability Theory - Herwig Friedl and Siegfried Hörmann 3. Subjective Probability - Igor Kopylov 4. Paradoxes in Probability Theory - Nicholas Shackel Part II: Probability Theory in Research Methodology 5. Probability Theory in Statistics - Tamás Rudas 6. The Bayesian Approach to Statistics - Anthony O'Hagan 7. Design of Experiments - Mauro Gasparini and Maria Piera Rogantin 8. Causation and Causal Inference: Defining, Identifying, and Estimating Causal Effects - Michael Sobel 9. Randomness and Computation - Oded Goldreich Part III: Applications 10. Time-Series Analysis - Michael Anthony Lewis 11. Survival Analysis - Nancy Brandon Tuma 12. Probabilistic Sampling - Jeffrey M. Wooldridge 13. Panel Studies - Edward W. Frees and Jee-Seon Kim 14. Probabilistic Methods in Surveys and Offical Statistics - Vasja Vehovar, Matka Zaletel, and Rudi Seljak 15. Probabilistic Models of Measurement Errors - Nicholas T. Longford 16. Statistical Models for the Development of Psychological and Educational Tests - Klaas Sijtsma and Wilco H. M. Emons 17. Probabilistic Simulation Models of Society - Klaus G. Troitzsch 18. Probabilistic Network Analysis - Philippa Pattison and Garry Robins 19. Gambling - Chas Friedman 20. Insurance - Richard A. Derrig and Krzysztof Ostaszewski 21. Credit Scoring - Ad Feelders 22. Investment Portfolios and Stock Pricing - Craig G. Rennie 23. Expert Systems - George Luger and Chayan Chakrabarti 24. Probability and Evidence - Julia Mortera and Philip Dawid 25. Probability in the Courtroom - Basil C. Bitas About the Editor About the Contributors Index
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