<p>This book is the result of the International Symposium on SemiΒ Markov Processes and their Applications held on June 4-7, 1984 at the Universite Libre de Bruxelles with the help of the FNRS (Fonds National de la Recherche Scientifique, Belgium), the Ministere de l'Education Nationale (Belgium) an
Semi-Markov Models and Applications
β Scribed by Ronald Pyke (auth.), Jacques Janssen, Nikolaos Limnios (eds.)
- Publisher
- Springer US
- Year
- 1999
- Tongue
- English
- Leaves
- 403
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
This book presents a selection of papers presented to the Second InterΒ national Symposium on Semi-Markov Models: Theory and Applications held in Compiegne (France) in December 1998. This international meeting had the same aim as the first one held in Brussels in 1984 : to make, fourteen years later, the state of the art in the field of semi-Markov processes and their applications, bring together researchers in this field and also to stimulate fruitful discussions. The set of the subjects of the papers presented in Compiegne has a lot of similarities with the preceding Symposium; this shows that the main fields of semi-Markov processes are now well established particularly for basic applications in Reliability and Maintenance, Biomedicine, QueueΒ ing, Control processes and production. A growing field is the one of insurance and finance but this is not really a surprising fact as the problem of pricing derivative products represents now a crucial problem in economics and finance. For example, stochastic models can be applied to financial and insurΒ ance models as we have to evaluate the uncertainty of the future market behavior in order, firstly, to propose different measures for important risks such as the interest risk, the risk of default or the risk of catasΒ trophe and secondly, to describe how to act in order to optimize the situation in time. Recently, the concept of VaR (Value at Risk) was "discovered" in portfolio theory enlarging so the fundamental model of Markowitz.
β¦ Table of Contents
Front Matter....Pages i-xxi
Front Matter....Pages 1-1
The Solidarity of Markov Renewal Processes....Pages 3-21
A Generalization of Semi-Markov Processes....Pages 23-32
Quasi-Stationary Phenomena for Semi-Markov Processes....Pages 33-60
Semi-Markov Random Walks....Pages 61-75
Diffusion Approximation for Processes with Semi-Markov Switches and Applications in Queueing Models....Pages 77-101
Approximations for Semi-Markov Single Ion Channel Models....Pages 103-115
Front Matter....Pages 117-117
Asymptotic Behavior of the Log-Likelihood Function in Stochastic Processes when Based on a Random Number of Random Variables....Pages 119-147
Some Asymptotic Results and Exponential Approximation in Semi-Markov Models....Pages 149-166
Markov Renewal Processes and Exponential Families....Pages 167-186
On Homogeneity of Two Semi-Markov Samples....Pages 187-199
Product-Type Estimator of Convolutions....Pages 201-206
Non-Parametric Failure Rate Estimation of Semi-Markov Systems....Pages 207-218
Estimation for Semi-Markov Manpower Models in a Stochastic Environment....Pages 219-227
Semi-Markov Models for Lifetime Data Analysis....Pages 229-238
Front Matter....Pages 239-239
Continuous Time Non Homogeneous Semi-Markov Systems....Pages 241-251
The Perturbed Non-Homogeneous Semi-Markov System....Pages 253-265
Front Matter....Pages 267-267
Semi-Markov Queues with Heavy Tails....Pages 269-284
Markov Renewal Modelling of Poisson Traffic at Intersections having Separate Turn Lanes....Pages 285-310
Front Matter....Pages 311-311
Stochastic Stability and Optimal Control of Semi-Markov Risk Processes in Insurance Mathematics....Pages 313-323
Option Pricing with Semi-Markov Volatility....Pages 325-333
Front Matter....Pages 335-335
Applications of Semi-Markov Processes in Reliability and Maintenance....Pages 337-348
Controlled Queueing Systems with Recovery Functions....Pages 349-364
Front Matter....Pages 365-365
Continuous Semi-Markov Models for Chromatography....Pages 367-389
The Stress Tensor of the Closed Semi-Markov System. Energy and Entropy....Pages 391-399
Back Matter....Pages 401-404
β¦ Subjects
Mathematics, general; Number Theory; Mathematical Logic and Foundations; Statistics, general; Systems Theory, Control
π SIMILAR VOLUMES
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