A First Course in Probability, Eighth 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.
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A First Course in Probability, Fourth Edition, thoroughly presents the mathematics of probability theory as well as the many diverse applications of the subject. Fundamental concepts such as the principles of combinational analysis, key to computing probabilities, and the axioms of probability theory are thoroughly covered early on. The author's concise writing style and refined textual organization covers topics such as conditional probability and independence of events, conditioning, expectation, and discrete, continuous, and jointly distributed random variables with unparalleled clarity. Interesting exercises and numerous worked examples solidly reinforce concepts.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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