Ross' classic bestseller, "Introduction to Probability Models", has been used extensively by professionals and as the primary text for a first undergraduate course in applied probability. It provides an introduction to elementary probability theory and stochastic processes, and shows how probability theory can be applied to the study of phenomena in fields such as engineering, computer science, management science, the physical and social sciences, and operations research. With the addition of several new sections relating to actuaries, this text is highly recommended by the Society of Actuaries. Ancillary list includes: Instructor's Manual; Student Solutions Manual; and, Sample Chapter, eBook. The following are new to this edition: this title includes 65 per cent new chapter material including coverage of finite capacity queues, insurance risk models and Markov chains. It contains compulsory material for new Exam 3 of the Society of Actuaries containing several sections in the new exams. It features updated data, and a list of commonly used notations and equations, a robust ancillary package, including a ISM, SSM, test bank, and companion website.
It includes SPSS PASW Modeler and SAS JMP software packages which are widely used in the field. Hallmark features include: superior writing style; excellent exercises and examples covering the wide breadth of coverage of probability topics; and, real-world applications in engineering, science, business and economics.
Author Biography
Sheldon M. Ross is a professor in the Department of Industrial Engineering and Operations Research at the University of Southern California. He received his Ph.D. in statistics at Stanford University in 1968. He has published many technical articles and textbooks in the areas of statistics and applied probability. Among his texts are A First Course in Probability, Introduction to Probability Models, Stochastic Processes, and Introductory Statistics. Professor Ross is the founding and continuing editor of the journal Probability in the Engineering and Informational Sciences. He is a Fellow of the Institute of Mathematical Statistics, and a recipient of the Humboldt US Senior Scientist Award.
