000			01175nam a22001697a 4500
005			20240206104936.0
008			240206b |||||||| |||| 00| 0 eng d
020			_a 9788126518050
082			_a519.1 _b FEL
100			_aFeller, William
245			_aAn introduction to probability: theory and its applications, Vol. 1 _cWilliam Feller,
250			_a3RD
260			_aNew Delhi _bWiley _c1968
300			_a509P
505			_t1. 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
942			_2ddc _cBK
999			_c2051 _d2051