Probability, Markov Chains, Queues, And Simulation: The Mathematical Basis

Probability, Markov Chains, Queues, and Simulation: The Mathematical Basis of Performance Modeling

Probability, Markov Chains, Queues, and Simulation: The Mathematical Basis of Performance Modeling by William J. Stewart
English | 2009 | ISBN: 0691140626 | 776 pages | PDF | 38 MB
Probability, Markov Chains, Queues, and Simulation: The Mathematical Basis of Performance Modeling (repost)

Probability, Markov Chains, Queues, and Simulation: The Mathematical Basis of Performance Modeling by William J. Stewart
English | 2009 | ISBN: 0691140626 | 776 pages | PDF | 6,3 MB
Probability, Markov Chains, Queues, and Simulation: The Mathematical Basis of Performance Modeling (repost)

Probability, Markov Chains, Queues, and Simulation: The Mathematical Basis of Performance Modeling by William J. Stewart
English | 2009 | ISBN: 0691140626 | 776 pages | PDF | 6,3 MB

Probability, Markov Chains, Queues, and Simulation provides a modern and authoritative treatment of the mathematical processes that underlie performance modeling. The detailed explanations of mathematical derivations and numerous illustrative examples make this textbook readily accessible to graduate and advanced undergraduate students taking courses in which stochastic processes play a fundamental role.

Understanding Markov Chains: Examples and Applications  eBooks & eLearning

Posted by ksveta6 at March 30, 2016
Understanding Markov Chains: Examples and Applications

Understanding Markov Chains: Examples and Applications (Springer Undergraduate Mathematics Series) by Nicolas Privault
2013 | ISBN: 9814451509 | English | 354 pages | EPUB | 4 MB
Quasi-Stationary Distributions: Markov Chains, Diffusions and Dynamical Systems (Probability and Its Applications) (Repost)

Quasi-Stationary Distributions: Markov Chains, Diffusions and Dynamical Systems (Probability and Its Applications) By Pierre Collet, Servet Martínez, Jaime San Martín
2013 | 287 Pages | ISBN: 3642331300 | PDF | 3 MB
Quasi-Stationary Distributions: Markov Chains, Diffusions and Dynamical Systems (Probability and Its Applications) (Repost)

Quasi-Stationary Distributions: Markov Chains, Diffusions and Dynamical Systems (Probability and Its Applications) By Pierre Collet, Servet Martínez, Jaime San Martín
2013 | 287 Pages | ISBN: 3642331300 | PDF | 3 MB

Understanding Markov Chains: Examples and Applications (repost)  eBooks & eLearning

Posted by interes at Oct. 1, 2014
Understanding Markov Chains: Examples and Applications (repost)

Understanding Markov Chains: Examples and Applications by Nicolas Privault
English | 2013 | ISBN: 9814451509 | 350 pages | PDF | 3,2 MB

This book provides an undergraduate introduction to discrete and continuous-time Markov chains and their applications. A large focus is placed on the first step analysis technique and its applications to average hitting times and ruin probabilities.
Queueing Networks and Markov Chains: Modeling and Performance Evaluation with Computer Science Applications [Repost]

Queueing Networks and Markov Chains: Modeling and Performance Evaluation with Computer Science Applications
Wiley-Interscience; 2 edition | ISBN: 0471565253 | 896 pages | PDF | April 14, 2006 | English | 44 Mb

Markov Chains: Theory and Applications  eBooks & eLearning

Posted by interes at June 23, 2014
Markov Chains: Theory and Applications

Markov Chains: Theory and Applications (ISTE) by Bruno Sericola
English | 2013 | ISBN: 1848214936 | ISBN-13: 9781848214934 | 416 pages | PDF | 2,7 MB

Markov chains are a fundamental class of stochastic processes. They are widely used to solve problems in a large number of domains such as operational research, computer science, communication networks and manufacturing systems.

Markov Chains: Analytic and Monte Carlo Computations  eBooks & eLearning

Posted by interes at May 31, 2014
Markov Chains: Analytic and Monte Carlo Computations

Markov Chains: Analytic and Monte Carlo Computations by Carl Graham
English | 2014 | ISBN: 1118517075 | ISBN-13: 9781118517079 | 258 pages | PDF | 4,6 MB

Markov Chains: Analytic and Monte Carlo Computations introduces the main notions related to Markov chains and provides explanations on how to characterize, simulate, and recognize them. Starting with basic notions, this book leads progressively to advanced and recent topics in the field, allowing the reader to master the main aspects of the classical theory.