An introductory text in probability which presents the mathematics of probability theory as well as the range of applications of the subject. It features concepts such as the principles of combinational analysis and the axioms of probability theory; and coverage of topics including conditional probability and independence of events, conditioning, expectation and discrete, continous and jointly distributed random variables.
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For upper-level or undergraduate/graduate level introduction to probability for math, science, engineering, and business students with a background in elementary calculus.
This highly successful text is written as an elementary introduction to the mathematical theory of probability for students in mathematics, engineering, and the sciences who possess the prerequisite knowledge of elementary calculus.About the Author:
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, the Advisory Editor for International Journal of Quality Technology and Quantitative Management, and an Editorial Board Member of the Journal of Bond Trading and Management. He is a Fellow of the Institute of Mathematical Statistics and a recipient of the Humboldt US Senior Scientist Award.
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