An introduction to probability theory and its applications / William Feller
Material type:
TextSeries: A Wiley publication in mathematical statisticsPublication details: New York : Wiley, [1957-71]Edition: 2nd edDescription: 2 v. illus. 24 cmISBN: - 0471257095 (v. 2)
- 519.2 F318
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UE-Central Library | 519.2 F318 (Browse shelf(Opens below)) | Available | T2644 |
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includes index
1. Introduction: the nature of probability theory
2. The sample space
3. Elements of combinatorial analysis
4. Fluctuations in coin tossing and random wales
5. Combination of events
6. Conditional probability. Stochastic independence
7. The binomial and the poisson distributions
8. The normal approximation to the binomial distribution
9. Unlimited sequences of bernoulli trials
10. Random variables; expectation
11. Laws of large numbers
12. Integral valued variables. Generating functions
13. Compound distributions. Branching processes
14. Recurrent events. The renewal equation
15. Random walk and ruin problems
16. Markov chains
17. Algebraic treatment of finite markov chains
18. The simplest time-dependent stochastic processes
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