An introduction to probability theory and its applications /
Guardado en:
| Autor Principal: | |
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| Formato: | Libro |
| Idioma: | English |
| Publicado: |
New York :
John Wiley,
c1957-
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| Edición: | 2nd ed. |
| Series: | Wiley publication in mathematical statistics
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| Materias: | |
| Etiquetas: |
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Tabla de Contenidos:
- v. 1. Introduction: the nature of probability theory
- The sample space
- Elements of combinatorial analysis
- Fluctuations in coin tossing and random walks
- Combination of events
- Conditional probability. Stochastic independence
- The binomial and the poisson distributions
- The normal approximation to the binomial distribution
- Unlimited sequences of bernoulli trials
- Random variables; expectation
- Laws of large numbers
- Integral valued variables. Generating functions
- Compound distributions. Branching processses
- Recurrent events. The renewal equation
- Random walk and ruin problems
- Markov chains
- Algebraic treatment of finite markov chains
- The simplest time-dependent stochastic processes
- Answers to problems
- Index.