Mathematical probability theory is especially interesting to scientists and engineers. It introduces probability theory, showing how probability problems can be formulated mathematically to systematically attack routine methods. Topics include independence and dependence, probability laws and random variables. Over 500 exercises, an appendix of useful tables and answers to odd-numbered questions are also included.
• Probability Theory as the Study of Mathematical Models of Random Phenomena.
• Basic Probability Theory.
• Independence and Dependence.
• Numerical-Valued Random Phenomena.
• Mean and Variance of a Probability Law.
• Normal, Poisson, and Related Probability Laws.
• Random Variables.
• Expectation of a Random Variable.
• Sums of Independent Random Variables.
• Sequences of Random Variables.
• Answers to Odd-Numbered Exercises.