Committee login






Small thumbnail

Secure Connected Objects

Small thumbnail

Banach, Fréchet, Hilbert and Neumann Spaces

Analysis for PDEs Set – Volume 1

Small thumbnail

Semi-Markov Migration Models for Credit Risk

Stochastic Models for Insurance Set – Volume 1

Small thumbnail

Human Exposure to Electromagnetic Fields

From Extremely Low Frequency (ELF) to Radio Frequency

Small thumbnail

Enterprise Interoperability


Small thumbnail

Data Treatment in Environmental Sciences

Multivaried Approach

Small thumbnail

From Pinch Methodology to Pinch-Exergy Integration of Flexible Systems

Thermodynamics – Energy, Environment, Economy Set

Small thumbnail

Exterior Algebras

Elementary Tribute to Grassmann's Ideas

Small thumbnail

Nonlinear Theory of Elastic Plates

Small thumbnail

Cognitive Approach to Natural Language Processing

Small thumbnail

Introduction to Stochastic Models

Marius Iosifescu, Bucharest Institute of Mathematical Statistics and Applied Mathematics, Romania Nikolaos Limnios, University of Technology of Compiègne, France Gheorghe Oprisan, Politehnica University of Bucharest, Romania.

ISBN: 9781848210578

Publication Date: March 2010   Hardback   384 pp.

135.00 USD

Add to cart


Ebook Ebook


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.


1. Introduction to Stochastic Processes.
2. Simple Stochastic Models.
3. Elements of Markov Modeling.
4. Renewal Models.
5. Semi-Markov Models.
6. Branching Models.
7. Optimal Stopping Models.

About the Authors

Marius Iosifescu is a member and vice-president of the Romanian Academy of Sciences and director of the Bucharest Institute of Mathematical Statistics and Applied Mathematics. His research concerns stochastic processes, the probabilistic theory of numbers and their applications.
Nikolaos Limnios is a professor of applied mathematics at the University of Technology of Compiègne, France. His research and teaching activities concern stochastic processes, statistical inference and their applications.
Gheorghe Opri\s,an is a professor of applied mathematics at the ‘Politehnica’ University of Bucharest and the head of the Mathematical section II there. His research concerns stochastic processes and their applications.


DownloadTable of Contents - PDF File - 240 Kb

Related Titles

0.03036 s.