Applied Stochastic Modelling

Through numerous real-world applications, this text explains how to construct, fit, and evaluate statistical and stochastic models for use in diverse areas such as geology, sociology, biology, and economics. It incorporates traditional statistical and probability theory with modern computational methods. Along with an updated bibliography and improved figures, this edition includes an extended discussion on Bayesian methods, a large number of new exercises, and a new appendix on computational methods. All of the data sets and MATLAB® and R programs found in the text as well as lecture slides and other ancillary material are available for download at www.crcpress.com