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Handbook of Probability
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Handbook of Probability
Theory and Applications

Edited by:

February 2008 | 488 pages | SAGE Publications, Inc

"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.


 
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."

CHOICE
Key features
  • Non-technical yet comprehensive and authoritative review of the most important theoretical concepts of probability theory;
  • An equal balance of theory and applications;
  • In-depth review of recent applications in the social, behavioral, and educational sciences, business, and law;
  • Contributions from the international who's-who of probability across several disciplines, who provide cutting-edge perspectives and real-world insight into the greater utility of probability and its applications.

 

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ISBN: 9781483303659

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ISBN: 9781412927147
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