An introduction to probability theory and its applications /
| Autor principal: | |
|---|---|
| Formato: | Libro |
| Idioma: | Español |
| Publicado: |
New York :
John Wiley & Sons,
1962.
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| Edición: | 2nd ed. |
| Colección: | Wiley Publications in Statistics.
Mathematical Statistics |
| Materias: |
Tabla de Contenidos:
- Introduction: the nature of probability theory.
- I. The simple space.
- II. Elements of combinatorial analysis.
- III. Fluctuations in coin tossing and random walks.
- IV. Combination of events.
- V. Conditional probability. Stochastic Independence.
- VI. The binomial and the poisson distributions.
- VII. The normal approximation to the binomial.
- VIII. Unlimited sequences of Bernoulli trials.
- IX. Random variables; expectation.
- X. Laws of large numbers.
- XI. Integral valued variables. Generating.
- XII. Compound distributions. Branching processes.
- XIII. Recurrent events. The renewal equation.
- XIV. Random wlak and ruin problems.
- XV. Markov Chains.
- XVI. Algebraic treatment of finite Markov Chains.
- XVII. The simplest time-dependent stochastic.