This manual covers Dynamic Probabilistic Systems, Volume I: Markov Models, authored by Ronald A. Howard. Published by Dover Publications, this 1971 edition is presented in English and serves as an integrated work in two volumes. The first volume focuses on basic Markov processes, laying the groundwork for understanding more complex systems.

The purpose of this manual is to teach readers how to formulate, analyze, and evaluate Markov models. It is intended for individuals seeking a deep understanding of probabilistic systems, particularly those involved in mathematical and statistical analysis. The content delves into the fundamental aspects of Markov processes, providing a comprehensive resource for academic and practical application.