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Handbook of Probability

Handbook of Probability
Theory and Applications

Edited by:

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.
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

"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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ISBN: 9781412927147

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