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00609nam ac200205 k 4500
000003851353
20220101120000
ta
040701s1957 us 000 eng
▼a 0471257117
▼a 123456
▼c 123456
▼d 211070
▼l WM4854
▼v 1957-1
▼a QA273
▼a QA273
▼b F3713
▼c 1957-1
▼a Feller,William
▼a An Introduction to Probability Theory and Its Applications.
▼n 1/
▼d Feller,William
▼a 3rd ed.
▼a New York:
▼b John Wiley & Sons, Inc.,
▼c 1957.
▼a 509p.;
▼c 22cm.
▼a INTRODUCTION
▼a PROBABILITY
▼a THEORY
▼a APPLICATIONS
▼a 단행본
| 자료유형 : | 단행본 |
|---|---|
| ISBN : | 0471257117 |
| 분류기호 : | QA273 |
| 개인저자 : | Feller,William |
| 서명/저자사항 : | An Introduction to Probability Theory and Its Applications. 1/ Feller,William |
| 판사항 : | 3rd ed. |
| 발행사항 : | New York: John Wiley & Sons, Inc., 1957. |
| 형태사항 : | 509p.; 22cm. |
| 언어 | 영어 |
WMO200400799
권 호 : 509p.
발행년 : 1957
발행처 : John Wiley & Sons, Inc.
서 명 : An Introduction to Probability Theory and Its Applications
목차
1. The Sample Space
2. Elements of Combinatorial Analysis
3. Fluctuations in Coin Tossing and Random Walks
4. Combination of Events
5. Conditional Probability. Stochastic Independence
6. The Binomial and the Poisson Distributions
7. The Normal Approximation to the Binomial Distribution
8. Unlimited Sequences of Bernoulli Trials
9. Random Variables : Expectation
10. Laws of Large Numbers
11. Integral Valued Variables. Generating Functions
12. Compound Distributions. Branching Processes
13. Recurrent Events. Renewal Theory
14. Random Walk and Ruin Problems
15. Markov Chains
16. Algebraic Treatment of Finite Markov Chains
17. The simplest Time-Dependent Stochastic Processes
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