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Handbook of Probability: Theory and Applications

Editat de Tamas Rudas
en Limba Engleză Hardback – 21 apr 2008
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.
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Specificații

ISBN-13: 9781412927147
ISBN-10: 1412927145
Pagini: 488
Dimensiuni: 178 x 254 x 31 mm
Greutate: 1.02 kg
Ediția:1
Editura: SAGE Publications
Colecția Sage Publications, Inc
Locul publicării:Thousand Oaks, United States

Recenzii

"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."

Cuprins

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