A First Course in Probability 9th Edition PDF Download Ebook. Sheldon Ross offers clear and intuitive explanations of the mathematics of probability theory, outstanding problem sets, and a variety of diverse examples and applications.
The coverage includes Combinatorial Analysis; Axioms of Probability; Conditional Probability and Independence; Random Variables; Continuous Random Variables; Jointly Distributed Random Variables; Properties of Expectation; Limit Theorems; Additional Topics in Probability; Simulation. 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.
Stream-lined exposition focuses on improved clarity and deeper understanding. New examples and exercises added throughout this edition pique students’ interest while building their understanding of probability. New Examples 3h and 4k, found in Chapter 3,engage students by discussing estimating the fraction of twin pairs that are identical and with analyzing serve and rally games.
Intuitive explanations are supported with an abundance of examples to give readers a thorough introduction to both the theory and applications of probability. Analysis is unique to the text and elegantly designed. Examples include the knockout tournament and multiple players gambling ruin problem, as well as the new results concerning the sum of uniform and the sum of geometric random variables.
Three sets of exercises are given at the end of each chapter. These include Problems, Theoretical Exercises, and Self-Test Problems and Exercises. The Self-Test Problems and Exercises include complete solutions in the appendix, allowing students to test their comprehension and study for exams.
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.
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