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Probability, Markov Chains, Queues, and Simulation

Probability, Markov Chains, Queues, and Simulation provides a modern and authoritative treatment of the mathematical processes that;

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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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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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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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Markov Chains

author uses quantifiable examples to illustrate how probability theory arrived at the concept of discrete-time and the Markov model from;

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Queueing Theory 1

interdependent arrival and service times, characteristics of fluid queues, modifications of retrial queueing systems and finite-source retrial queues;

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Applied Discrete-Time Queues

Markov chains are included. This book covers single node systems, tandem system and queueing networks. It shows how queues with time-varying;

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Applied Discrete-Time Queues

Markov chains are included. This book covers single node systems, tandem system and queueing networks. It shows how queues with time-varying;

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Communication And Computer Networks

introduces discrete-time queues at the simplest possible level. The chapters that follow cover probability theory and discrete-time Markov chains;

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Introduction to Probability Models

(4.11) on HIDDDEN MARKOV CHAINS, including the forward and backward approaches for computing the joint probability mass function of the signals;

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Stochastic Modeling in Physical and Biological Sciences

Discusses basic definitions, important properties and results on Markov Chains giving examples to understand the intricacies of the theory;

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Understanding Probability 3rd

more exercises and examples and it includes new sections on Bayesian inference, Markov chain Monte-Carlo simulation, hitting probabilities;

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Elements Of Stochastic Modelling

of probability theory and then covers the following topics: Markov chains, Markov decision processes, jump Markov processes, elements of queueing theory;

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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: Gibbs Fields, Monte Carlo Simulation and Queues

of this book is to initiate students in the art of stochastic modelling. However it is motivated by significant applications and progressively;

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One Thousand Exercises in Probability

of probability and random variables; sampling; Markov chains; convergence; stationary processes; renewals; queues; Martingales; diffusion; mathematical;

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Introduction To Probability Models

processes, including Markov chains and Poison processes. The remaining chapters cover queuing, reliability theory, Brownian motion, and simulation;

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Introduction to Probability Models, ISE

Ross's classic bestseller, Introduction to Probability Models, has been used extensively by professionals and as the primary text for;

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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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Probability for Engineering, Mathematics, and Science, International Edition

of probability to those who will use it in their subsequent courses and careers. The author emphasizes the study of probability distributions that;

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Probability

distribution, and limits * An early introduction to random variables and Monte Carlo simulation and an emphasis on conditional probability;

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One Thousand Exercises in Probability

, Markov chains, convergence, stationary processes, renewals, queues, martingales, diffusions, Levy processes, stability and self-similarity, time;

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Probability Models

particular events arise. Applications include branching processes, random walks, Markov chains, queues, renewal theory, and Brownian motion. No;

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Applications of Markov Chains in Chemical Engineering

, despite the widespread use of Markov chains in many areas of science and technology, their applications in chemical engineering have been;

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Probabilities of Counting Codes

how formulas can be found based on the rules of the probability theory, and their correctness is verified by a comparison with Markov chains.;

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Finite Mathematics Mod & Aplicati Set

; Simplex Methods; Application Models; Set and Probability Relationships; Random Variables and Probability Distributions; Markov Chains;

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The Theory of Probability

This classic book is intended to be the first introduction to probability and statistics written with an emphasis on the analytic approach;

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