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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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Passage Times for Markov Chains

This book is a survey of work on passage times in stable Markov chains with a discrete state space and a continuous time. Passage times;

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Markov Chains and Mixing Times

tools for estimating convergence times, including coupling, strong stationary times, and spectral methods. Whenever possible, probabilistic;

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Introduction to Hidden Semi-Markov Models

to the subject by first developing the theory of Markov processes in an elementary discrete time, finite state framework suitable for senior;

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General Irreducible Markov Chains and Non-Negative Operators

of Markov chains. It could also be used as a graduate-level textbook for courses on Markov chains or aspects of operator theory.;

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Finite Markov Processes and Their Applications

A self-contained treatment of finite Markov chains and processes, this text covers both theory and applications. Author Marius Iosifescu;

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Ergodic Behavior of Markov Processes

The general topic of this book is the ergodic behavior of Markov processes. A detailed introduction to methods for proving ergodicity and;

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Numerical Methods in Markov Chains and Bulk Queues

Numerical Methods in Markov Chains and Bulk Queues is een boek van Tapan P. Bagchi;

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Markov Chains

A fascinating and instructive guide to Markov chains for experienced users and newcomers alike This unique guide to Markov chains;

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Self-Learning Control of Finite Markov Chains

for both unconstrained and constrained finite Markov chains-efficiently processing new information by adjusting the control strategies;

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Self-Learning Control of Finite Markov Chains

for both unconstrained and constrained finite Markov chains-efficiently processing new information by adjusting the control strategies;

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Modeling and Analysis of Stochastic Systems

most important classes of stochastic processes used in the modeling of diverse systems. For each class of stochastic process, the text includes;

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Modeling and Analysis of Stochastic Systems

most important classes of stochastic processes used in the modeling of diverse systems. For each class of stochastic process, the text includes;

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Introduction to the Numerical Solution of Markov Chains

A cornerstone of applied probability, Markov chains can be used to help model how plants grow, chemicals react, and atoms diffuse--and;

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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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Markov Chains And Dependability Theory

satisfaction levels for the modelled system. Topics covered include Markovian state lumping, analysis of sojourns on subset of states of Markov chains;

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Markov Chains

Markov chains are central to the understanding of random processes. This is not only because they pervade the applications of random;

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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 Chains

highlighted. Some classical iterative methods for solving linear systems will be introduced for finding the stationary distribution of a Markov chain;

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Applications of Markov Chains in Chemical Engineering

Markov chains make it possible to predict the future state of a system from its present state ignoring its past history. Surprisingly;

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Statistical Inference for Piecewise-deterministic Markov Processes

Piecewise-deterministic Markov processes form a class of stochastic models with a sizeable scope of applications: biology, insurance;

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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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Markov Chains & Stochastic Stability

Markovian models, or algorithms for computation of optimal policies for controlled Markov models, has opened new directions for research on Markov;

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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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A First Course in Probability and Markov Chains

in Probability and Markov Chains presents an introduction to the basic elements in probability and focuses on two main areas. The first part explores;

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Group Inverses of M-Matrices and Their Applications

underlying Markov chain. It also illustrates how to use the group inverse to compute and analyze the mean first passage matrix for a Markov chain;

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