Elements of Applied Stochastic Processes improves on the last edition by condensing the material and organising it into a more teachable format. It provides more in-depth coverage of Markov chains and simple Markov process and gives added emphasis to statistical inference in stochastic processes.
Integration of theory and application offers improved teachability
Provides a comprehensive introduction to stationary processes and time series analysis
Integrates a broad set of applications into the text
Utilizes a wealth of examples from research papers and monographs
