Applied Semi Markov Processes

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  • Publisher : Springer Science & Business Media
  • Release : 08 February 2006
  • ISBN : 9780387295480
  • Page : 310 pages
  • Rating : 4.5/5 from 103 voters

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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 and semi-Markov rewards processes. The concepts are fundamental for many applications, but they are not as thoroughly presented in other books on the subject as they are here.

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Applied Semi-Markov Processes

Applied Semi-Markov Processes
  • Author : Jacques Janssen,Raimondo Manca
  • Publisher : Springer Science & Business Media
  • Release Date : 2006-02-08
  • ISBN : 9780387295480
GET THIS BOOKApplied Semi-Markov Processes

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 and semi-Markov rewards processes. The concepts are fundamental for many applications, but they are not as thoroughly presented in other books on the subject as they are here.

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
  • ISBN : 9781461201618
GET THIS BOOKSemi-Markov Processes and Reliability

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

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
  • ISBN : 9780128006597
GET THIS BOOKSemi-Markov Processes: Applications in System Reliability and Maintenance

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 models. The book is a useful resource for mathematicians, engineering practitioners, and PhD and MSc students who want to understand the basic concepts and results of semi-Markov process theory. Clearly

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
  • ISBN : 9780387731735
GET THIS BOOKSemi-Markov Chains and Hidden Semi-Markov Models toward Applications

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 applications where the time scale is intrinsically discrete. The models presented in the book are specifically adapted to reliability studies and DNA analysis. The book is mainly intended for applied

Continuous Semi-Markov Processes

Continuous Semi-Markov Processes
  • Author : Boris Harlamov
  • Publisher : John Wiley & Sons
  • Release Date : 2013-03-01
  • ISBN : 9781118624050
GET THIS BOOKContinuous Semi-Markov Processes

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, Lévy and Smith stepped semi-Markov processes, and some other subclasses. Extensive coverage is devoted to non-Markovian semi-Markov processes with continuous trajectories and, in particular, to semi-Markov diffusion processes. Readers

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
  • ISBN : 9781461332886
GET THIS BOOKSemi-Markov Models and Applications

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 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

Statistical Topics and Stochastic Models for Dependent Data with Applications

Statistical Topics and Stochastic Models for Dependent Data with Applications
  • Author : Vlad Stefan Barbu,Nicolas Vergne
  • Publisher : John Wiley & Sons
  • Release Date : 2020-12-03
  • ISBN : 9781786306036
GET THIS BOOKStatistical Topics and Stochastic Models for Dependent Data with Applications

This book is a collective volume authored by leading scientists in the field of stochastic modelling, associated statistical topics and corresponding applications. The main classes of stochastic processes for dependent data investigated throughout this book are Markov, semi-Markov, autoregressive and piecewise deterministic Markov models. The material is divided into three parts corresponding to: (i) Markov and semi-Markov processes, (ii) autoregressive processes and (iii) techniques based on divergence measures and entropies. A special attention is payed to applications in reliability, survival

Markov Processes for Stochastic Modeling

Markov Processes for Stochastic Modeling
  • Author : Oliver Ibe
  • Publisher : Newnes
  • Release Date : 2013-05-22
  • ISBN : 9780124078390
GET THIS BOOKMarkov Processes for Stochastic Modeling

Markov processes are processes that have limited memory. In particular, their dependence on the past is only through the previous state. They are used to model the behavior of many systems including communications systems, transportation networks, image segmentation and analysis, biological systems and DNA sequence analysis, random atomic motion and diffusion in physics, social mobility, population studies, epidemiology, animal and insect migration, queueing systems, resource management, dams, financial engineering, actuarial science, and decision systems. Covering a wide range of areas

Dynamic Probabilistic Systems

Dynamic Probabilistic Systems
  • Author : Ronald A. Howard
  • Publisher : Courier Corporation
  • Release Date : 2013-01-18
  • ISBN : 9780486152004
GET THIS BOOKDynamic Probabilistic Systems

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.

Semi-Markov Models

Semi-Markov Models
  • Author : Jacques Janssen
  • Publisher : Springer Science & Business Media
  • Release Date : 2013-11-11
  • ISBN : 9781489905741
GET THIS BOOKSemi-Markov Models

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 Mathe matical Statistics and Probability. This international meeting was planned to make a state of the art for the area of semi-Markov theory and its applications, to bring together researchers

Nonlinearly Perturbed Semi-Markov Processes

Nonlinearly Perturbed Semi-Markov Processes
  • Author : Dmitrii Silvestrov,Sergei Silvestrov
  • Publisher : Springer
  • Release Date : 2017-09-06
  • ISBN : 9783319609881
GET THIS BOOKNonlinearly Perturbed Semi-Markov Processes

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 are composed for getting asymptotic expansions, without and with explicit upper bounds for remainders, for power moments of hitting times, stationary and conditional quasi-stationary distributions for nonlinearly perturbed semi-Markov processes.

Safety and Reliability – Safe Societies in a Changing World

Safety and Reliability – Safe Societies in a Changing World
  • Author : Stein Haugen,Anne Barros,Coen van Gulijk,Trond Kongsvik,Jan Erik Vinnem
  • Publisher : CRC Press
  • Release Date : 2018-06-15
  • ISBN : 9781351174640
GET THIS BOOKSafety and Reliability – Safe Societies in a Changing World

Safety and Reliability – Safe Societies in a Changing World collects the papers presented at the 28th European Safety and Reliability Conference, ESREL 2018 in Trondheim, Norway, June 17-21, 2018. The contributions cover a wide range of methodologies and application areas for safety and reliability that contribute to safe societies in a changing world. These methodologies and applications include: - foundations of risk and reliability assessment and management - mathematical methods in reliability and safety - risk assessment - risk management - system

Dynamic Probabilistic Systems, Volume I

Dynamic Probabilistic Systems, Volume I
  • Author : Ronald A. Howard
  • Publisher : Courier Corporation
  • Release Date : 2007-06-05
  • ISBN : 9780486458700
GET THIS BOOKDynamic Probabilistic Systems, Volume I

An integrated work in two volumes, this text teaches readers to formulate, analyze, and evaluate Markov models. The first volume treats basic process; the second, semi-Markov and decision processes. 1971 edition.

Hidden Semi-Markov Models

Hidden Semi-Markov Models
  • Author : Shun-Zheng Yu
  • Publisher : Morgan Kaufmann
  • Release Date : 2015-10-22
  • ISBN : 9780128027714
GET THIS BOOKHidden Semi-Markov Models

Hidden semi-Markov models (HSMMs) are among the most important models in the area of artificial intelligence / machine learning. Since the first HSMM was introduced in 1980 for machine recognition of speech, three other HSMMs have been proposed, with various definitions of duration and observation distributions. Those models have different expressions, algorithms, computational complexities, and applicable areas, without explicitly interchangeable forms. Hidden Semi-Markov Models: Theory, Algorithms and Applications provides a unified and foundational approach to HSMMs, including various HSMMs (such as the

Markov Decision Processes with Their Applications

Markov Decision Processes with Their Applications
  • Author : Qiying Hu,Wuyi Yue
  • Publisher : Springer Science & Business Media
  • Release Date : 2007-09-14
  • ISBN : 9780387369518
GET THIS BOOKMarkov Decision Processes with Their Applications

Put together by two top researchers in the Far East, this text examines Markov Decision Processes - also called stochastic dynamic programming - and their applications in the optimal control of discrete event systems, optimal replacement, and optimal allocations in sequential online auctions. This dynamic new book offers fresh applications of MDPs in areas such as the control of discrete event systems and the optimal allocations in sequential online auctions.