Markov Processes for Stochastic Modeling

Written By Oliver Ibe
Markov Processes for Stochastic Modeling
  • Publsiher : Newnes
  • Release : 22 May 2013
  • ISBN : 0124078397
  • Pages : 514 pages
  • Rating : /5 from reviews
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Download or read book entitled Markov Processes for Stochastic Modeling by author: Oliver Ibe which was release on 22 May 2013 and published by Newnes with total page 514 pages . This book available in PDF, EPUB and Kindle Format. 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 of application of Markov processes, this second edition is revised to highlight the most important aspects as well as the most recent trends and applications of Markov processes. The author spent over 16 years in the industry before returning to academia, and he has applied many of the principles covered in this book in multiple research projects. Therefore, this is an applications-oriented book that also includes enough theory to provide a solid ground in the subject for the reader. Presents both the theory and applications of the different aspects of Markov processes Includes numerous solved examples as well as detailed diagrams that make it easier to understand the principle being presented Discusses different applications of hidden Markov models, such as DNA sequence analysis and speech analysis.

Markov Processes for Stochastic Modeling

Markov Processes for Stochastic Modeling
  • Author : Oliver Ibe
  • Publisher : Newnes
  • Release Date : 2013-05-22
  • Total pages : 514
  • ISBN : 0124078397
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Summary : 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 ...

Student Solutions Manual for Markov Processes for Stochastic Modeling

Student Solutions Manual for Markov Processes for Stochastic Modeling
  • Author : Oliver Ibe
  • Publisher : Academic Press
  • Release Date : 2008-11-21
  • Total pages : 120
  • ISBN : 0124078397
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Summary : Student Solutions Manual for Markov Processes for Stochastic Modeling...

Markov Processes for Stochastic Modeling

Markov Processes for Stochastic Modeling
  • Author : Masaaki Kijima
  • Publisher : Springer
  • Release Date : 2013-12-19
  • Total pages : 341
  • ISBN : 0124078397
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Summary : This book presents an algebraic development of the theory of countable state space Markov chains with discrete- and continuous-time parameters. A Markov chain is a stochastic process characterized by the Markov prop erty that the distribution of future depends only on the current state, not on the whole history. Despite ...

An Introduction to Stochastic Modeling

An Introduction to Stochastic Modeling
  • Author : Mark Pinsky,Samuel Karlin
  • Publisher : Academic Press
  • Release Date : 2011
  • Total pages : 563
  • ISBN : 0124078397
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Summary : Serving as the foundation for a one-semester course in stochastic processes for students familiar with elementary probability theory and calculus, Introduction to Stochastic Modeling, Fourth Edition, bridges the gap between basic probability and an intermediate level course in stochastic processes. The objectives of the text are to introduce students to ...

Stochastic Modeling and Analysis of Telecom Networks

Stochastic Modeling and Analysis of Telecom Networks
  • Author : Laurent Decreusefond,Pascal Moyal
  • Publisher : John Wiley & Sons
  • Release Date : 2012-12-27
  • Total pages : 387
  • ISBN : 0124078397
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Summary : This book addresses the stochastic modeling of telecommunicationnetworks, introducing the main mathematical tools for that purpose,such as Markov processes, real and spatial point processes andstochastic recursions, and presenting a wide list of results onstability, performances and comparison of systems. The authors propose a comprehensive mathematical construction ofthe foundations of ...

An Introduction to Stochastic Modeling

An Introduction to Stochastic Modeling
  • Author : Howard M. Taylor,Samuel Karlin
  • Publisher : Academic Press
  • Release Date : 2014-05-10
  • Total pages : 410
  • ISBN : 0124078397
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Summary : An Introduction to Stochastic Modeling provides information pertinent to the standard concepts and methods of stochastic modeling. This book presents the rich diversity of applications of stochastic processes in the sciences. Organized into nine chapters, this book begins with an overview of diverse types of stochastic models, which predicts a ...

Stochastic Modelling of Social Processes

Stochastic Modelling of Social Processes
  • Author : Andreas Diekmann,Peter Mitter
  • Publisher : Academic Press
  • Release Date : 2014-05-10
  • Total pages : 352
  • ISBN : 0124078397
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Summary : Stochastic Modelling of Social Processes provides information pertinent to the development in the field of stochastic modeling and its applications in the social sciences. This book demonstrates that stochastic models can fulfill the goals of explanation and prediction. Organized into nine chapters, this book begins with an overview of stochastic ...

Elements of Stochastic Modelling

Elements of Stochastic Modelling
  • Author : K. A. Borovkov
  • Publisher : World Scientific
  • Release Date : 2003
  • Total pages : 342
  • ISBN : 0124078397
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Summary : This textbook has been developed from the lecture notes for a one-semester course on stochastic modelling. It reviews the basics of probability theory and then covers the following topics: Markov chains, Markov decision processes, jump Markov processes, elements of queueing theory, basic renewal theory, elements of time series and simulation. ...

Stochastic Processes Modeling and Simulation

Stochastic Processes  Modeling and Simulation
  • Author : D N Shanbhag,Calyampudi Radhakrishna Rao
  • Publisher : Gulf Professional Publishing
  • Release Date : 2003-03-10
  • Total pages : 1000
  • ISBN : 0124078397
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Summary : This sequel to volume 19 of Handbook on Statistics on Stochastic Processes: Modelling and Simulation is concerned mainly with the theme of reviewing and, in some cases, unifying with new ideas the different lines of research and developments in stochastic processes of applied flavour. This volume consists of 23 chapters addressing various ...

Stochastic Modeling

Stochastic Modeling
  • Author : Nicolas Lanchier
  • Publisher : Springer
  • Release Date : 2017-01-27
  • Total pages : 303
  • ISBN : 0124078397
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Summary : Three coherent parts form the material covered in this text, portions of which have not been widely covered in traditional textbooks. In this coverage the reader is quickly introduced to several different topics enriched with 175 exercises which focus on real-world problems. Exercises range from the classics of probability theory to ...

Stochastic Models Analysis and Applications

Stochastic Models  Analysis and Applications
  • Author : B. R. Bhat
  • Publisher : New Age International
  • Release Date : 2004
  • Total pages : 408
  • ISBN : 0124078397
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Summary : The Book Presents A Systematic Exposition Of The Basic Theory And Applications Of Stochastic Models.Emphasising The Modelling Rather Than Mathematical Aspects Of Stochastic Processes, The Book Bridges The Gap Between The Theory And Applications Of These Processes.The Basic Building Blocks Of Model Construction Are Explained In A Step ...

Basics of Applied Stochastic Processes

Basics of Applied Stochastic Processes
  • Author : Richard Serfozo
  • Publisher : Springer Science & Business Media
  • Release Date : 2009-01-24
  • Total pages : 443
  • ISBN : 0124078397
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Summary : Stochastic processes are mathematical models of random phenomena that evolve according to prescribed dynamics. Processes commonly used in applications are Markov chains in discrete and continuous time, renewal and regenerative processes, Poisson processes, and Brownian motion. This volume gives an in-depth description of the structure and basic properties of these ...

Stochastic Models in Life Insurance

Stochastic Models in Life Insurance
  • Author : Michael Koller
  • Publisher : Springer Science & Business Media
  • Release Date : 2012-03-22
  • Total pages : 219
  • ISBN : 0124078397
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Summary : The book provides a sound mathematical base for life insurance mathematics and applies the underlying concepts to concrete examples. Moreover the models presented make it possible to model life insurance policies by means of Markov chains. Two chapters covering ALM and abstract valuation concepts on the background of Solvency II ...

Applied Stochastic System Modeling

Applied Stochastic System Modeling
  • Author : Shunji Osaki
  • Publisher : Springer Science & Business Media
  • Release Date : 2012-12-06
  • Total pages : 269
  • ISBN : 0124078397
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Summary : This book was written for an introductory one-semester or two-quarter course in stochastic processes and their applications. The reader is assumed to have a basic knowledge of analysis and linear algebra at an undergraduate level. Stochastic models are applied in many fields such as engineering systems, physics, biology, operations research, ...

Probability and Stochastic Modeling

Probability and Stochastic Modeling
  • Author : Vladimir I. Rotar
  • Publisher : CRC Press
  • Release Date : 2012-08-25
  • Total pages : 508
  • ISBN : 0124078397
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Summary : A First Course in Probability with an Emphasis on Stochastic Modeling Probability and Stochastic Modeling not only covers all the topics found in a traditional introductory probability course, but also emphasizes stochastic modeling, including Markov chains, birth-death processes, and reliability models. Unlike most undergraduate-level probability texts, the book also focuses ...