Stationary Random Processes Associated with Point Processes (Lecture Notes in Statistics, 5)

Stationary Random Processes Associated with Point Processes by Tomasz Rolski is a scholarly work published by Springer on May 21, 1981. This softcover reprint of the original first edition spans 139 pages and is presented in English. The book explores the concept of random processes linked to point processes, drawing inspiration from queuing problems while also addressing applications in reliability and dam theory.
Readers will find a comprehensive study that begins with foundational concepts and notations in the first chapter, followed by an introduction to discrete time theory, which serves both as a precursor to continuous time theory and as a standalone topic of interest. The text delves into continuous time theory in the third chapter, presenting significant results from queuing and dam theory. The final chapter illustrates practical applications of the theory, offering insights into obtaining useful bounds for the stationary distribution of a random process. This edition is suitable for those interested in stochastic processes and their applications in various fields of applied probability.
Official synopsis Publisher
In this set of notes we study a notion of a random process assoc- ted with a point process. The presented theory was inSpired by q- ueing problems. However it seems to be of interest in other branches of applied probability, as for example reliability or dam theory. Using developed tools, we work out known, aswell as new results from queueing or dam theory. Particularly queues which cannot be treated by standard techniques serve as illustrations of the theory. In Chapter 1 the preliminaries are given. We acquaint the reader with the main ideas of these notes, introduce some useful notations, concepts and abbreviations. He also recall basic facts from ergodic theory, an important mathematical tool employed in these notes. Finally some basic notions from queues are reviewed. Chapter 2 deals with discrete time theory. It serves two purposes. The first one is to let the reader get acquainted with the main lines of the theory needed in continuous time without being bothered by tech nical details. However the discrete time theory also seems to be of interest itself. There are examples which have no counte~ in continuous time. Chapter 3 deals with continuous time theory. It also contains many basic results from queueing or dam theory. Three applications of the continuous time theory are given in Chapter 4. We show how to use the theory in order to get some useful bounds for the stationary distribution of a random process.
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