Ross, Sheldon <br/><br/>
First course in probability 

 - 9th ed. 
 - Chennai:  Pearson,  2018. 
 - 455p.; 20cms. 
<br/><br/> A First Course in Probability, Ninth Edition, features clear and intuitive explanations of the mathematics of probability theory, outstanding problem sets, and a variety of diverse examples and applications. This book is ideal for an upper-level undergraduate or graduate level introduction to probability for math, science, engineering and business students. It assumes a background in elementary calculus<br/><br/>CONTENTS<br/><br/>1. Combinatorial Analysis<br/><br/>2. Axioms of Probability<br/><br/>3. Conditional Probability and Independence<br/><br/>4. Random Variables<br/><br/>5. Continuous Random Variables<br/><br/>6. Jointly Distributed Random Variables<br/><br/>7. Properties of Expectation<br/><br/>8. Limit Theorems<br/><br/>9. Simulation<br/><br/>Appendix A. Answers to Selected Problems<br/><br/>Appendix B. Solutions to Self-Test Problems and Exercises 
<br/><br/><label>ISBN: </label>9789332519077 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Probabilities & applied mathematics --Mathematical statistics<br/>Combinatorial Analysis<br/>Axioms of Probability
<br/><br/><label>Dewey Class. No.: </label>519.2 R67, 9