A First Course in Probability is a comprehensive book for mathematics students and undergraduates studying statistics and probability. This book is aimed at an introductory course in probability and lays down the basic principles underlying a study of probability. It puts the subject in a practical context to help students prepare for a higher course in the subject. The book discusses Combinatorial Analysis, Random Variables, Expectation and Limit Theorems. In addition the book provides an ample amount of examples and applications to help students understand the concepts therein. It is an indispensable book for all students of mathematics and engineers studying various methods of analysis.
About Sheldon Ross
Sheldon M. Ross is the Epstein Chair Professor at the Department of Industrial and Systems Engineering, University of Southern California. He has also written: Introduction to Mathematical Finance: Options and Other Topics and Simulation and Probability Models for Computer Science.
A graduate of Purdue University and Brooklyn College, Dr. Ross completed his Ph.D. in Statistics from Stanford University. He has also served as a Professor at the University of California, Berkeley. His areas of interest are: applied probability models, financial engineering, simulation and stochastic dynamic programming.
1. Combinatorial Analysis
2. Axioms of Probability
3. Conditional Probability and Independence
4. Random Variables
5. Continuous Random Variables
6. Jointly Distributed Random Variables
7. Properties of Expectation
8. Limit Theorems
Appendix A. Answers to Selected Problems
Appendix B. Solutions to Self-Test Problems and Exercises
Bilal Ahmad Rather
14 Jun, 2017
21 Jul, 2015
Great book for beginners & maths lovers
9 Apr, 2014