Marius Iosifescu

Self-contained treatment covers both theory and applications. Topics include the fundamental role of homogeneous infinite Markov chains in the mathematical modeling of psychology and genetics. 1980 edition.

Finite Markov Processes and Their Applications

Nikolaos Limnios

Gheorghe Oprisan

This book provides a pedagogical examination of the way in which stochastic models are encountered in applied sciences and techniques such as physics, engineering, biology and genetics, economics and social sciences. It covers Markov and semi-Markov models, as well as their particular cases: Poisson, renewal processes, branching processes, Ehrenfest models, genetic models, optimal stopping, reliability, reservoir theory, storage models, and queuing systems. Given this comprehensive treatment of the subject, students and researchers in applied sciences, as well as anyone looking for an introduction to stochastic models, will find this title of invaluable use.

Introduction to Stochastic Models

Tiberiu Postelnicu

Serban Grigorescu

The Proceedings of the Seventh Conference on Probability Theory contains all the invited papers and a selection of those contributed at the conference, held in Bra?ov, Romania on August 29th to September 2nd, 1982. The scope of this conference was considerably broaded than those of recent years. In addition to probability theory, the book includes sections on mathematical statistics, operational research and mathematical programming, and biomathematics. A number of the papers published provide an overview of recent research results. Others examine the direction research is taking, and discuss contemporary problems in the science. The book will be of value not only to the individual scientist but also to the department or institute library with collections in this area.

Marius Iosifescu

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