Applied Stochastic Modelling

By Byron J.T. Morgan. Written for senior-level undergraduate and graduate level students, this book discusses probability and statistical theory in a variety of real-world applications. Topics covered include model fitting, optimization, Monte Carlo inference, Bayesian methods, and simulation techniques. MATLAB is used to solve numerous application problems throughout the book.