‘This is a valuable reference guide for readers interested in gaining a basic understanding of probability theory or its applications in problem solving in the other disciplines.’
—CHOICE
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.
Key Features
- Contains contributions from the international who′s-who of probability across several disciplines
- Offers an equal balance of theory and applications
- Explains the most important concepts of probability theory in a non-technical yet comprehensive way
- Provides in-depth examples of recent applications in the social and behavioral sciences as well as education, business, and law
Intended Audience
This Handbook makes an ideal library purchase. In addition, this volume should also be of interest to individual scholars in the social and behavioral sciences.
表中的内容
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
关于作者
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).
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