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Applied Semi Markov Processes

Applied Semi Markov Processes
  • Author : Jacques Janssen
  • Publsiher : Springer Science & Business Media
  • Release : 08 February 2006
  • ISBN : 0387295488
  • Pages : 310 pages
  • Rating : 4/5 from 21 ratings
GET THIS BOOKApplied Semi Markov Processes

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 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.


Applied Semi-Markov Processes

Applied Semi-Markov Processes
  • Author : Jacques Janssen,Raimondo Manca
  • Publisher : Springer Science & Business Media
  • Release : 08 February 2006
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.

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Semi-Markov Processes: Applications in System Reliability and Maintenance

Semi-Markov Processes: Applications in System Reliability and Maintenance
  • Author : Franciszek Grabski
  • Publisher : Elsevier
  • Release : 25 September 2014
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

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Semi-Markov Processes and Reliability

Semi-Markov Processes and Reliability
  • Author : N. Limnios,G. Oprisan
  • Publisher : Springer Science & Business Media
  • Release : 06 December 2012
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

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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 : 07 January 2009
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

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Continuous Semi-Markov Processes

Continuous Semi-Markov Processes
  • Author : Boris Harlamov
  • Publisher : John Wiley & Sons
  • Release : 01 March 2013
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

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Semi-Markov Models and Applications

Semi-Markov Models and Applications
  • Author : Jacques Janssen,Nikolaos Limnios
  • Publisher : Springer Science & Business Media
  • Release : 01 December 2013
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

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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 : 03 December 2020
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

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Semi-Markov Models

Semi-Markov Models
  • Author : Jacques Janssen
  • Publisher : Springer Science & Business Media
  • Release : 11 November 2013
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

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Markov Processes for Stochastic Modeling

Markov Processes for Stochastic Modeling
  • Author : Oliver Ibe
  • Publisher : Newnes
  • Release : 22 May 2013
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

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Nonlinearly Perturbed Semi-Markov Processes

Nonlinearly Perturbed Semi-Markov Processes
  • Author : Dmitrii Silvestrov,Sergei Silvestrov
  • Publisher : Springer
  • Release : 06 September 2017
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.

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Markov Decision Processes with Their Applications

Markov Decision Processes with Their Applications
  • Author : Qiying Hu,Wuyi Yue
  • Publisher : Springer Science & Business Media
  • Release : 14 September 2007
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.

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Language and Automata Theory and Applications

Language and Automata Theory and Applications
  • Author : Shmuel Tomi Klein,Carlos Martín-Vide,Dana Shapira
  • Publisher : Springer
  • Release : 03 April 2018
GET THIS BOOKLanguage and Automata Theory and Applications

This book constitutes the refereed proceedings of the 12th International Conference on Language and Automata Theory and Applications, LATA 2018, held in Ramat Gan, Israel, in April 2018.The 20 revised full papers presented together with 3 invited papers were carefully reviewed and selected from 58 submissions. The papers cover fields like algebraic language theory, algorithms for semi-structured data mining, algorithms on automata and words, automata and logic, automata for system analysis and programme verification, automata networks, automatic structures, codes, combinatorics on words, computational complexity,

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Stochastic Models in Queueing Theory

Stochastic Models in Queueing Theory
  • Author : Jyotiprasad Medhi
  • Publisher : Elsevier
  • Release : 06 November 2002
GET THIS BOOKStochastic Models in Queueing Theory

This is a graduate level textbook that covers the fundamental topics in queuing theory. The book has a broad coverage of methods to calculate important probabilities, and gives attention to proving the general theorems. It includes many recent topics, such as server-vacation models, diffusion approximations and optimal operating policies, and more about bulk-arrival and bull-service models than other general texts. * Current, clear and comprehensive coverage * A wealth of interesting and relevant examples and exercises to reinforce concepts * Reference lists provided

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Applied Probability

Applied Probability
  • Author : Valérie Girardin,Nikolaos Limnios
  • Publisher : Springer
  • Release : 12 September 2018
GET THIS BOOKApplied Probability

This textbook addresses postgraduate students in applied mathematics, probability, and statistics, as well as computer scientists, biologists, physicists and economists, who are seeking a rigorous introduction to applied stochastic processes. Pursuing a pedagogic approach, the content follows a path of increasing complexity, from the simplest random sequences to the advanced stochastic processes. Illustrations are provided from many applied fields, together with connections to ergodic theory, information theory, reliability and insurance. The main content is also complemented by a wealth of

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