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Markov Processes and Applications

This well-written book provides a clear and accessible treatment of the theory of discrete and continuous-time Markov chains, with an;

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Finite Markov Processes and Their Applications

basics of nonhomogeneous finite Markov chain theory; and a study of Markovian dependence in continuous time, which constitutes an elementary;

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A First Course in Probability and Markov Chains

with an introduction to Poisson processes and Continuous Time Discrete Markov Chains. This book also looks at making use of measure theory;

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Selected Topics on Continuous-Time Controlled Markov Chains and Markov Games

algebra, probability, and continuous-time Markov chains should suffice to understand the contents of the book.;

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Markov Chains

with some background in basic probability theory, focuses on Markov chains and quickly develops a coherent and rigorous theory whilst showing;

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Introduction to Hidden Semi-Markov Models

Markov chains and hidden Markov chains have applications in many areas of engineering and genomics. This book provides a basic introduction;

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Markov Chains

both discrete and continuous time Markov chains. The relationship between Markov chains of finite states and matrix theory will also be;

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Introduction to the Numerical Solution of Markov Chains

the state is huge. He provides extensive background to both discrete-time and continuous-time Markov chains and examines many different;

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Understanding Markov Chains

This book provides an undergraduate-level introduction to discrete and continuous-time Markov chains and their applications, with a;

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Markov Processes for Stochastic Modeling

This book presents an algebraic development of the theory of countable state space Markov chains with discrete- and continuous-time;

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Stochastic Modeling and Analysis of Telecom Networks

as Markov processes, real and spatial point processes and stochastic recursions, and presenting a wide list of results on stability;

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Markov Chains And Dependability Theory

, Markov models, describing both basic results and specialised techniques. The authors first present both discrete and continuous time Markov;

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Performance Modeling of Communication Networks with Markov Chains

property, discrete time Markov chain (DTMC) and continuous time Markov chain (CTMC). We also discuss how to find the steady state distributions;

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General Irreducible Markov Chains and Non-Negative Operators

The purpose of this book is to present the theory of general irreducible Markov chains and to point out the connection between this and the;

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Generators of Markov Chains

Elementary treatments of Markov chains, especially those devoted to discrete-time and finite state-space theory, leave the impression that;

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Markov Processes

background for continuous Markov processes with exponential random variables and Poisson processes. It presents continuous Markov processes which;

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Generatingfunctionology: Third Edition

- Theory of Markov Chains - Number Theory One of the most important and relevant recent applications of combinatorics lies in the development;

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Probability An Introduction 2Nd

, and distributions - discrete and continuous random variables are treated separately - together with simple versions of the law of large;

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Markov Chains and Decision Processes for Engineers and Managers

Recognized as a powerful tool for dealing with uncertainty, Markov modeling can enhance your ability to analyze complex production and;

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Markov Chains and Decision Processes for Engineers and Managers

Recognized as a powerful tool for dealing with uncertainty, Markov modeling can enhance your ability to analyze complex production and;

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Stochastic Modeling in Physical and Biological Sciences

of Markov Chains. This book elaborates continuous time stochastic processes for modeling purpose explaining in detail with examples and includes an;

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Branching Process Models of Cancer

familiar with Poisson processes and continuous time Markov chains. Richard Durrett is a mathematics professor at Duke University, USA. He;

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An Introduction to Stochastic Processes with Applications to Biology

focuses on discrete and continuous time Markov chains and continuous time and state Markov processes. New to the Second Edition;

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Markov Chains

Markov Chains: Analytic and Monte Carlo Computations introduces the main notions related to Markov chains and provides explanations on how;

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Queueing Networks and Markov Chains

a current and thorough treatment of queueing systems, queueing networks, continuous and discrete-time Markov chains, and simulation;

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Non-Homogeneous Markov Chains and Systems

Features A broad and accessible overview of non-homogeneous Markov chains and systems Fills a significant gap in the current literature A;

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Modeling and Analysis of Stochastic Systems

from health care and finance in continuous time Markov chains, and square root staffing rule in Queuing models. More than 50 new exercises have;

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