Handbook of probability : theory and applications

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 Hormann 3. Subjective Probability - Igor Kopylov 4. Paradoxes in Probability Theory - Nicholas Shackel Part II: Probability Theory in Research Methodology 5. Probability Theory in Statistics - Tamas 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