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Asymptotic Analyses for Complex Evolutionary Systems with Markov and Semi-Markov Switching Using Approximation Schemes

This book analyzes stochastic evolutionary models under the impulse of diffusion, as well as Markov and semi-Markov switches. Models are;

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Stochastic Systems In Merging Phase Space

space is considered in asymptotic split and merging schemes. Most of the results from semi-Markov processes are new and presented for the first;

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Switching Processes in Queueing Models

of fast switching, averaging principle and diffusion approximation results are proved and applied to the investigation of transient phenomena for;

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Semi-Markov Models

Featuring previously unpublished results, Semi-Markov Models: Control of Restorable Systems with Latent Failures describes;

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Random Evolutionary Systems - Asymptotic Properties and Large Deviations

parts, a good tool for analyzing and fitting models is the theory of random evolutionary systems, considering their asymptotic properties and;

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Continuous-Time Random Walks for the Numerical Solution of Stochastic Differential Equations

discretizing the Kolmogorov equation associated with the SDE in such a way that the resulting semi-discrete equation generates a Markov jump process;

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Random Motions in Markov and SemiMarkov Random Environments 1

This book is the first of two volumes on random motions in Markov and semi-Markov random environments. This first volume focuses on;

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Queueing Theory 1

approximation of Markov queueing systems and networks, the diffusion and Gaussian limits of multi-channel queueing networks with rather general input;

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Analysis of Computer and Communication Networks

analyzing telecommunication systems. Queuing and Markov chain analyses are provided for many protocols currently in use. The book then discusses;

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Introduction to Hidden Semi-Markov Models

undergraduates and graduates. The authors then introduce semi-Markov chains and hidden semi-Markov chains, before developing related estimation and;

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Random Motions in Markov and SemiMarkov Random Environments 2

deals with the interaction of particles in Markov and semi-Markov media, which has, in contrast, been a topic of intense study. The second;

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Markov Renewal and Piecewise Deterministic Processes

This book is aimed at researchers, graduate students and engineers who would like to be initiated to Piecewise Deterministic Markov;

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Semi-Markov Processes

Semi-Markov Processes: Applications in System Reliability and Maintenance is a modern view of discrete state space and continuous time;

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Statistical Topics and Stochastic Models for Dependent Data with Applications

corresponding applications. The main classes of stochastic processes for dependent data investigated throughout this book are Markov, semi-Markov;

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Semi-Dirichlet Forms and Markov Processes

This book deals with analytic treatments of Markov processes. Symmetric Dirichlet forms and their associated Markov processes are important;

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Sequential Change Detection and Hypothesis Testing

, including in modern, complex information systems and networks. These extensions are illustrated using Markov, hidden Markov, state-space, regression;

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Sequential Change Detection and Hypothesis Testing

, including in modern, complex information systems and networks. These extensions are illustrated using Markov, hidden Markov, state-space, regression;

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Markov Decision Processes

development in the Markov decision process area, namely structural policy analysis, approximation modeling, multiple objectives and Markov games;

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Nonlinear Markov Processes And Kinetic Equations

the most fundamental questions in the theory of nonlinear Markov processes: existence, uniqueness, constructions, approximation schemes;

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Labelled Markov Processes

characterization of bisimulation, metrics and approximation theory. An unusual feature of the book is the connection made with categorical and domain;

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Asymptotic Properties of Permanental Sequences

sequences related to birth and death processes and autoregressive Gaussian sequences using techniques from the theory of Gaussian processes 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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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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Modeling for Reliability Analysis

Markov modeling has long been accepted as a fundamental and powerful technique for the fault tolerance analysis of mission-critical;

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Generated Dynamics of Markov and Quantum Processes

This book presents Markov and quantum processes as two sides of a coin called generated stochastic processes. It deals with quantum;

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Computational Mathematics and Variational Analysis

analysis, and engineering. Specific topics include algorithms for difference of monotone operators, variational inequalities in semi-inner;

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Extremal Problems and Inequalities of Markov-Bernstein Type for Algebraic Polynomials

of Markov-Bernstein Type for Algebraic Polynomials, but also ones for trigonometric polynomials and related functions, are treated in an integrated;

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