Handbook of Probability
Theory and Applications

Edited by:

Tamás Rudas - Eotvos Lorand University, Budapest

Other Titles in:
Quantitative/Statistical Research (General) | Research Methods & Evaluation (General)

April 2008 | 488 pages | SAGE Publications, Inc

The Handbook of Probability presents an equal balance of theory and direct applications in a non-technical, yet comprehensive format 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 or application of probability. The wide-ranging applications of probability presented make it useful for researchers who need to make interdisciplinary connections in their work, as well as professors who teach a range of students (social sciences, education, business, behavioral sciences, etc.) and need to bring probability into greater, concrete perspective for these students.

Preface

Advisory Board

Part I: Background and Theory of Probability

Peter M. Lee

1. History of Probability Theory

Herwig Friedl and Siegfried Hörmann

2. Frequentist Probability Theory

Igor Kopylov

3. Subjective Probability

Nicholas Shackel

4. Paradoxes in Probability Theory

Part II: Probability Theory in Research Methodology

Tamás Rudas

5. Probability Theory in Statistics

Anthony O’Hagan

6. The Bayesian Approach to Statistics

Mauro Gasparini and Maria Piera Rogantin

7. Design of Experiments

Michael Sobel

8. Causation and Causal Inference: Defining, Identifying, and Estimating Causal Effects

Oded Goldreich

9. Randomness and Computation

Part III: Applications

Michael Anthony Lewis

10. Time-Series Analysis

Nancy Brandon Tuma

11. Survival Analysis

Jeffrey M. Wooldridge

12. Probabilistic Sampling

Edward W. Frees and Jee-Seon Kim

13. Panel Studies

Vasja Vehovar, Matka Zaletel, and Rudi Seljak

14. Probabilistic Methods in Surveys and Offical Statistics

Nicholas T. Longford

15. Probabilistic Models of Measurement Errors

Klaas Sijtsma and Wilco H. M. Emons

16. Statistical Models for the Development of Psychological and Educational Tests

Klaus G. Troitzsch

17. Probabilistic Simulation Models of Society

Philippa Pattison and Garry Robins

18. Probabilistic Network Analysis

Chas Friedman

19. Gambling

Richard A. Derrig and Krzysztof Ostaszewski

20. Insurance

Ad Feelders

21. Credit Scoring

Craig G. Rennie

22. Investment Portfolios and Stock Pricing

George Luger and Chayan Chakrabarti

23. Expert Systems

Julia Mortera and Philip Dawid

24. Probability and Evidence

Basil C. Bitas

25. Probability in the Courtroom

About the Editor

About the Contributors

Index

"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."

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Sample Materials & Chapters

Chapter 6 - What is Biopsychology?

Chapter 18 - Probabilistic network analysis

Chapter 24 - Probability and evidence

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