Using Mathematica ® and R, this updated text discusses the modeling and analysis of random experiments using the theory of probability. It illustrates discrete random processes through the classical gambler’s ruin problem and its variants. It also covers continuous random processes, such as Poisson and general population models. With over 50 worked examples and more than 200 end-of-chapter problems, the text describes applications of probability to modeling problems in engineering, medicine, and biology. The book’s website includes the Mathematica and R programs as well as a solutions manual for instructors upon qualifying course adoption.
• Chapman & Hall/CRC Texts in Statistical Science
Probability
Statistical Theory & Methods
Textbook