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Book
xii, 505 pages : illiustrations ; 26 cm
  • 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
  • Common discrete distributions
  • Common continuous distributions.
For upper-level to graduate courses in Probability or Probability and Statistics, for majors in mathematics, statistics, engineering, and the sciences. Explores both the mathematics and the many potential applications of probability theory A First Course in Probability is an elementary introduction to the theory of probability for students in mathematics, statistics, engineering, and the sciences. Through clear and intuitive explanations, it presents not only the mathematics of probability theory, but also the many diverse possible applications of this subject through numerous examples. The 10th Edition includes many new and updated problems, exercises, and text material chosen both for interest level and for use in building student intuition about probability. 0134753119 / 9780134753119 A First Course in Probability, 10/e.
(source: Nielsen Book Data)9780134753119 20180924
Engineering Library (Terman)
MS&E-120-01
Book
xi, 467 pages ; 26 cm.
Engineering Library (Terman), Science Library (Li and Ma)
MS&E-120-01, STATS-116-01
Book
xiii, 530 p. : ill. ; 26 cm.
  • 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. Additional Topics in Probability 10. Simulation Appendix A. Answers to Selected Problems Appendix B. Solutions to Self-Test Problems and Exercises Index.
  • (source: Nielsen Book Data)9780136079095 20160527
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.
(source: Nielsen Book Data)9780136079095 20160527
Engineering Library (Terman), Science Library (Li and Ma)
MS&E-120-01
Book
x, 565 p. : ill. ; 25 cm.
  • 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. Additional Topics in Probability. 10. Simulation. Appendix A. Answers to Selected Problems. Appendix B. Solutions to Self-Test Problems and Exercises. Index.
  • (source: Nielsen Book Data)9780132018173 20160527
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.
(source: Nielsen Book Data)9780132018173 20160527
Engineering Library (Terman), Science Library (Li and Ma)
MS&E-120-01