Handbook of Probability

Theory and Applications

Inbunden, Engelska, 2008

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Beskrivning

"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."—CHOICEProviding 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 disciplinesOffers an equal balance of theory and applicationsExplains the most important concepts of probability theory in a non-technical yet comprehensive wayProvides in-depth examples of recent applications in the social and behavioral sciences as well as education, business, and law Intended AudienceThis Handbook makes an ideal library purchase. In addition, this volume should also be of interest to individual scholars in the social and behavioral sciences.

Produktinformation

Utgivningsdatum:2008-04-22
Mått:177 x 254 x 30 mm
Vikt:1 020 g
Format:Inbunden
Språk:Engelska
Antal sidor:488
Förlag:SAGE Publications Inc
ISBN:9781412927147

Utforska kategorier

Matematisk statistik inom Naturvetenskap och teknik

Mer om författaren

Tamas Rudas is the Head of the Department of Statistics and Dean of the Faculty of Social Sciences at Eotvos Lorand University (ELTE) in Budapest. He is also the Academic Director of the TARKI Social Research Centre. His main research area is statistics and its applications in the social sciences, especially the analysis of categorical data. He has published his work in many theoretical, applied, and methodological journals, including Annals of Statistics, Journal of the Royal Statistical Society, Sociological Methodology, Communication in Statistics, Journal of Educational and Behavioral Statistics, and Quality and Quantity. Dr. Rudas is also the author of Odds Ratios in the Analysis of Contingency Tables (Sage, 1998).

Recensioner i media

"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."

Innehållsförteckning

PrefaceAdvisory BoardPart I: Background and Theory of Probability1. History of Probability Theory - Peter M. Lee2. Frequentist Probability Theory - Herwig Friedl and Siegfried Hörmann3. Subjective Probability - Igor Kopylov4. Paradoxes in Probability Theory - Nicholas ShackelPart II: Probability Theory in Research Methodology5. Probability Theory in Statistics - Tamás Rudas6. The Bayesian Approach to Statistics - Anthony O’Hagan7. Design of Experiments - Mauro Gasparini and Maria Piera Rogantin8. Causation and Causal Inference: Defining, Identifying, and Estimating Causal Effects - Michael Sobel9. Randomness and Computation - Oded GoldreichPart III: Applications10. Time-Series Analysis - Michael Anthony Lewis11. Survival Analysis - Nancy Brandon Tuma12. Probabilistic Sampling - Jeffrey M. Wooldridge13. Panel Studies - Edward W. Frees and Jee-Seon Kim14. Probabilistic Methods in Surveys and Offical Statistics - Vasja Vehovar, Matka Zaletel, and Rudi Seljak15. Probabilistic Models of Measurement Errors - Nicholas T. Longford16. Statistical Models for the Development of Psychological and Educational Tests - Klaas Sijtsma and Wilco H. M. Emons17. Probabilistic Simulation Models of Society - Klaus G. Troitzsch18. Probabilistic Network Analysis - Philippa Pattison and Garry Robins19. Gambling - Chas Friedman20. Insurance - Richard A. Derrig and Krzysztof Ostaszewski21. Credit Scoring - Ad Feelders22. Investment Portfolios and Stock Pricing - Craig G. Rennie23. Expert Systems - George Luger and Chayan Chakrabarti24. Probability and Evidence - Julia Mortera and Philip Dawid25. Probability in the Courtroom - Basil C. BitasAbout the EditorAbout the ContributorsIndex