This undergraduate textbook presents an inquiry-based learning course in stochastic models and computing designed to serve as a first course in probability. Its
The first seven chapters use R for probability simulation and computation, including random number generation, numerical and Monte Carlo integration, and findin
In this fully revised second edition of Understanding Probability, the reader can learn about the world of probability in an informal way. The author demystifie
This accessible new edition explores the major topics in Monte Carlo simulation that have arisen over the past 30 years and presents a sound foundation for prob
"In formulating a stochastic model to describe a real phenomenon, it used to be that one compromised between choosing a model that is a realistic replica of the