Semi Markov Processes and Reliability

Written By N. Limnios
Semi Markov Processes and Reliability
  • Publsiher : Springer Science & Business Media
  • Release : 06 December 2012
  • ISBN : 1461201616
  • Pages : 222 pages
  • Rating : 4/5 from 21 reviews
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Read or download book entitled Semi Markov Processes and Reliability written by N. Limnios which was release on 06 December 2012, this book published by Springer Science & Business Media. Available in PDF, EPUB and Kindle Format. Book excerpt: At first there was the Markov property. The theory of stochastic processes, which can be considered as an exten sion of probability theory, allows the modeling of the evolution of systems through the time. It cannot be properly understood just as pure mathemat ics, separated from the body of experience and examples that have brought it to life. The theory of stochastic processes entered a period of intensive develop ment, which is not finished yet, when the idea of the Markov property was brought in. Not even a serious study of the renewal processes is possible without using the strong tool of Markov processes. The modern theory of Markov processes has its origins in the studies by A. A: Markov (1856-1922) of sequences of experiments "connected in a chain" and in the attempts to describe mathematically the physical phenomenon known as Brownian mo tion. Later, many generalizations (in fact all kinds of weakenings of the Markov property) of Markov type stochastic processes were proposed. Some of them have led to new classes of stochastic processes and useful applications. Let us mention some of them: systems with complete connections [90, 91, 45, 86]; K-dependent Markov processes [44]; semi-Markov processes, and so forth. The semi-Markov processes generalize the renewal processes as well as the Markov jump processes and have numerous applications, especially in relia bility.

Semi Markov Processes and Reliability

Semi Markov Processes and Reliability
  • Author : N. Limnios,G. Oprisan
  • Publisher : Springer Science & Business Media
  • Release Date : 2012-12-06
  • Total pages : 222
  • ISBN : 1461201616
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Summary : At first there was the Markov property. The theory of stochastic processes, which can be considered as an exten sion of probability theory, allows the modeling of the evolution of systems through the time. It cannot be properly understood just as pure mathemat ics, separated from the body of experience ...

Semi Markov Models

Semi Markov Models
  • Author : Jacques Janssen
  • Publisher : Springer Science & Business Media
  • Release Date : 2013-11-11
  • Total pages : 588
  • ISBN : 1461201616
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Summary : This book is the result of the International Symposium on Semi 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) and the Bernoulli Society for ...

Semi Markov Chains and Hidden Semi Markov Models toward Applications

Semi Markov Chains and Hidden Semi Markov Models toward Applications
  • Author : Vlad Stefan Barbu,Nikolaos Limnios
  • Publisher : Springer Science & Business Media
  • Release Date : 2009-01-07
  • Total pages : 226
  • ISBN : 1461201616
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Summary : Here is a work that adds much to the sum of our knowledge in a key area of science today. It is concerned with the estimation of discrete-time semi-Markov and hidden semi-Markov processes. A unique feature of the book is the use of discrete time, especially useful in some specific ...

Introduction to Hidden Semi Markov Models

Introduction to Hidden Semi Markov Models
  • Author : John Van der Hoek,Robert J. Elliott
  • Publisher : Cambridge University Press
  • Release Date : 2019
  • Total pages : 212
  • ISBN : 1461201616
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Summary : Develops the theory of Markov and semi-Markov processes in an elementary setting suitable for senior undergraduate and graduate students....

Semi Markov Risk Models for Finance Insurance and Reliability

Semi Markov Risk Models for Finance  Insurance and Reliability
  • Author : Jacques Janssen,Raimondo Manca
  • Publisher : Springer Science & Business Media
  • Release Date : 2007-05-15
  • Total pages : 430
  • ISBN : 1461201616
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Summary : Everyone working in related fields from applied mathematicians to statisticians to actuaries and operations researchers will find this a brilliantly useful practical text. The book presents applications of semi-Markov processes in finance, insurance and reliability, using real-life problems as examples. After a presentation of the main probabilistic tools necessary for ...

Semi Markov Models and Applications

Semi Markov Models and Applications
  • Author : Jacques Janssen,Nikolaos Limnios
  • Publisher : Springer Science & Business Media
  • Release Date : 2013-12-01
  • Total pages : 404
  • ISBN : 1461201616
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Summary : This book presents a selection of papers presented to the Second Inter 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 ...

Continuous Semi Markov Processes

Continuous Semi Markov Processes
  • Author : Boris Harlamov
  • Publisher : John Wiley & Sons
  • Release Date : 2013-03-01
  • Total pages : 448
  • ISBN : 1461201616
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Summary : This title considers the special of random processes known as semi-Markov processes. These possess the Markov property with respect to any intrinsic Markov time such as the first exit time from an open set or a finite iteration of these times. The class of semi-Markov processes includes strong Markov processes, ...

Semi Markov Processes Applications in System Reliability and Maintenance

Semi Markov Processes  Applications in System Reliability and Maintenance
  • Author : Franciszek Grabski
  • Publisher : Elsevier
  • Release Date : 2014-09-25
  • Total pages : 270
  • ISBN : 1461201616
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Summary : Semi-Markov Processes: Applications in System Reliability and Maintenance is a modern view of discrete state space and continuous time semi-Markov processes and their applications in reliability and maintenance. The book explains how to construct semi-Markov models and discusses the different reliability parameters and characteristics that can be obtained from those ...

Applied Semi Markov Processes

Applied Semi Markov Processes
  • Author : Jacques Janssen,Raimondo Manca
  • Publisher : Springer Science & Business Media
  • Release Date : 2006-02-08
  • Total pages : 310
  • ISBN : 1461201616
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Summary : Aims to give to the reader the tools necessary to apply semi-Markov processes in real-life problems. The book is self-contained and, starting from a low level of probability concepts, gradually brings the reader to a deep knowledge of semi-Markov processes. Presents homogeneous and non-homogeneous semi-Markov processes, as well as Markov ...

Nonlinearly Perturbed Semi Markov Processes

Nonlinearly Perturbed Semi Markov Processes
  • Author : Dmitrii Silvestrov,Sergei Silvestrov
  • Publisher : Springer
  • Release Date : 2017-09-06
  • Total pages : 143
  • ISBN : 1461201616
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Summary : The book presents new methods of asymptotic analysis for nonlinearly perturbed semi-Markov processes with a finite phase space. These methods are based on special time-space screening procedures for sequential phase space reduction of semi-Markov processes combined with the systematical use of operational calculus for Laurent asymptotic expansions. Effective recurrent algorithms ...

Bayesian Inference for Inverse Gaussian Distribution and Semi Markov Processes with Emphasis on Analysis of Buying Behavior

Bayesian Inference for Inverse Gaussian Distribution and Semi Markov Processes with Emphasis on Analysis of Buying Behavior
  • Author : Asit Kumar Banerjee
  • Publisher : Unknown
  • Release Date : 1974
  • Total pages : 292
  • ISBN : 1461201616
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Summary : Download or read online Bayesian Inference for Inverse Gaussian Distribution and Semi Markov Processes with Emphasis on Analysis of Buying Behavior written by Asit Kumar Banerjee, published by which was released on 1974. Get Bayesian Inference for Inverse Gaussian Distribution and Semi Markov Processes with Emphasis on Analysis of Buying Behavior ...

Applications of Semi Markov Processes to Counter and Reliability Problems

Applications of Semi Markov Processes to Counter and Reliability Problems
  • Author : Richard E. Barlow
  • Publisher : Unknown
  • Release Date : 1960
  • Total pages : 95
  • ISBN : 1461201616
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Summary : Download or read online Applications of Semi Markov Processes to Counter and Reliability Problems written by Richard E. Barlow, published by which was released on 1960. Get Applications of Semi Markov Processes to Counter and Reliability Problems Books now! Available in PDF, ePub and Kindle....

Dynamic Probabilistic Systems Semi Markov and decision processes

Dynamic Probabilistic Systems  Semi Markov and decision processes
  • Author : Ronald A. Howard
  • Publisher : John Wiley & Sons
  • Release Date : 1971
  • Total pages : 12
  • ISBN : 1461201616
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Summary : Download or read online Dynamic Probabilistic Systems Semi Markov and decision processes written by Ronald A. Howard, published by John Wiley & Sons which was released on 1971. Get Dynamic Probabilistic Systems Semi Markov and decision processes Books now! Available in PDF, ePub and Kindle....

Ladder Processes for Markov and Semi Markov Chains

Ladder Processes for Markov and Semi Markov Chains
  • Author : Vidyadhar G. Kulkarni
  • Publisher : Unknown
  • Release Date : 1980
  • Total pages : 180
  • ISBN : 1461201616
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Summary : Download or read online Ladder Processes for Markov and Semi Markov Chains written by Vidyadhar G. Kulkarni, published by which was released on 1980. Get Ladder Processes for Markov and Semi Markov Chains Books now! Available in PDF, ePub and Kindle....

Dynamic Probabilistic Systems

Dynamic Probabilistic Systems
  • Author : Ronald A. Howard
  • Publisher : Courier Corporation
  • Release Date : 2013-01-18
  • Total pages : 576
  • ISBN : 1461201616
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Summary : An integrated work in two volumes, this text teaches readers to formulate, analyze, and evaluate Markov models. The first volume treats the basic process; the second, semi-Markov and decision processes. 1971 edition....