| 000 | 01351nam a22002417a 4500 | ||
|---|---|---|---|
| 999 |
_c7401 _d7401 |
||
| 003 | OSt | ||
| 005 | 20190201113936.0 | ||
| 008 | 190201b xxu||||| |||| 00| 0 eng d | ||
| 020 | _a9788126518050 | ||
| 040 | _aACL | ||
| 041 | _aENG | ||
| 082 |
_a519.0 _bFEL |
||
| 100 | _aFeller, William | ||
| 245 | _aAn introduction to probability theory and its applications | ||
| 250 | _a3rd ed. | ||
| 260 |
_aNew Delhi: _bWiley, _c2018. |
||
| 300 |
_axviii, 499p.; _bPAPER BACK _c21 cm. |
||
| 440 | _vVol. 1 | ||
| 500 | _aMathematics | ||
| 505 | _aContents; 1. Introduction: The Nature of Probability Theory 2. The Sample Space 3. Elements of Combinatorial Analysis 4. Fluctuations in Coin Tossing and Random Walks 5. Combination of Events 6. Conditional Probability, Stochastic Independence 7. The Binomial and the Poisson Distribution 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 Process 14. Recurrent Events. Renewal Theory 15. Random Walk and Ruin Problems 16. Markov Chains 17. Algebraic Treatment of Finite Markov Chains 18. The Simplest Time-Dependent Stochastic Processes | ||
| 520 | _aProbability | ||
| 653 | _aMathematics | ||