A First Course in Probability, Pearson New International Edition (9e) : 9781292024929

A First Course in Probability, Pearson New International Edition (9e)

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Pearson Higher Ed USA
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A First Course in Probability, 9th 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.

Table of contents
  • 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
  • 9. Simulation
  • Appendix A. Answers to Selected Problems
  • Appendix B. Solutions to Self-Test Problems and Exercises
  • Index
New to this edition

  • 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.

Features & benefits

  • 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.

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, 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.