Handbook of probability : theory and applications /
Tamas Rudas 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 or as a more advanced research tool for specific projects.
Clasificación: | Libro Electrónico |
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Otros Autores: | |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
Los Angeles [Calif.] ; London :
SAGE,
©2008.
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Temas: | |
Acceso en línea: | Texto completo |
Tabla de Contenidos:
- Part I. Background and theory of probability
- History of probability theory / Peter M. Lee
- Frequentist probability theory / Herwig Friedl and Siegfried Hörmann
- Subjective probability / Igor Kopylov
- Paradoxes in probability theory / Nicholas Shackel
- Part II. Probability theory in research methodology
- Probability theory in statistics / Tamás Rudas
- The Bayesian approach to statistics / Anthony O'Hagan
- Design of experiments / Mauro Gasparini and Maria Piera Rogantin
- Causation and causal inference : defining, identifying, and estimating causal effects / Michael Sobel
- Randomness and computation / Oded Goldreich
- Part III. Applications
- Time-series analysis / Michael Anthony Lewis
- Survival analysis / Nancy Brandon Tuma
- Probabalistic sampling / Jeffrey M. Wooldridge
- Panel studies / Edward W. Frees and Jee-Seon Kim
- Probabalistic methods in surveys and official statistics / Vasja Vehovar, Makta Zaletel, and Rudi Seljak
- Probabalistic models of measurement errors / Nicholas T. Longford
- Statistical models for the development of psychological and educational tests / Klaas Sijtsma and Wilco H.M. Emons
- Probabalistic simulation models of society / Klaus G. Troitzsch
- Probabalistic network analysis / Philippa Pattison and Garry Robins
- Gambling / Chas Friedman
- Insurance / Richard A. Derrig and Krzysztof Ostaszewski
- Credit scoring / Al Feelders
- Investment portfolios and stock pricing / Craig G. Rennie
- Expert systems / George Luger and Chayan Chakrabarti
- Probability and evidence / Juia Mortera and Philip Dawid
- Probability in the courtroom / Basil C. Bitas.