Feller, William <br/><br/>
An introduction to probability theory and its applications 

 - 3rd ed. 
 - New Delhi:  Wiley,  2018. 
 - xviii, 499p.;  PAPER BACK  21 cm. 
 -  Vol. 1 .
<br/><br/> Mathematics 
<br/><br/>Contents;<br/>1. Introduction: The Nature of Probability Theory<br/>2. The Sample Space<br/>3. Elements of Combinatorial Analysis<br/>4. Fluctuations in Coin Tossing and Random Walks<br/>5. Combination of Events<br/>6. Conditional Probability, Stochastic Independence<br/>7. The Binomial and the Poisson Distribution<br/>8. The Normal Approximation to the Binomial Distribution<br/>9. Unlimited Sequences of Bernoulli Trials<br/>10. Random Variables; Expectation<br/>11. Laws of Large Numbers<br/>12. Integral Valued Variables, Generating Functions<br/>13. Compound Distributions, Branching Process<br/>14. Recurrent Events. Renewal Theory<br/>15. Random Walk and Ruin Problems<br/>16. Markov Chains<br/>17. Algebraic Treatment of Finite Markov Chains<br/>18. The Simplest Time-Dependent Stochastic Processes<br/> 
<br/><br/> Probability 
<br/><br/><label>ISBN: </label>9788126518050 
<br/><br/><label>Subjects--Index Terms: </label>Mathematics 
<br/><br/><label>Dewey Class. No.: </label>519.0  / FEL