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Handbook of Probability
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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.
Peter M. Lee
History of probability theory
Herwig Friedl, Siegfried Hörmann
Frequentist probability theory
Nicholas Shackel
Paradoxes in probability theory
Igor Kopylov
Subjective and Other Probabilities
Tamás Rudas
Probability theory in statistics
Anthony O'Hagan
The Bayesian approach to statistics
Michael E. Sobel
Probability and causality
Michael A. Lewis
Time series analysis
Jeffrey M. Wooldridge
Probabilistic sampling
Mauro Gasparini , Maria Piera Rogantin
Design of experiments
Oded Goldreich
Randomness and computation
Edward Frees, Jee-Seon Kim
Panel studies
Nick Longford
Probabilistic models of measurement errors
Klaas Sijtsma, Wilco Emons
Test development
Philippa Pattison, Garry Robins
Probabilistic network analysis
Richard Derrig, Krzysztof Ostaszewski
Insurance pricing
A. J. Feelders
Credit scoring/rating
Craig G. Rennie
Investment portfolios and stock pricing
Charles Friedman
Gambling
George Luger, Chayan Chakrabarti
Expert systems
Julia Mortera , Phil Dawid
Probability and Evidence
Basil C. Bitas
Probability in the Courtroom
 
About the Contributors
Klaus G. Troitzsch
Probabilistic Models of the Society/Simulation
Vasja Vehovar, Matka Zaletel, Rudi Seljak
Probabilistic methods in surveys and official statistics
Nancy Brandon Tuma
Survival analysis
 
Index
 
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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ISBN: 9781412927147
£155.00

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