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Matrix-Analytic Methods in Stochastic Models

Overview of attention for book
Cover of 'Matrix-Analytic Methods in Stochastic Models'

Table of Contents

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    Book Overview
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    Chapter 1 Factorization Properties for a MAP-Modulated Fluid Flow Model Under Server Vacation Policies
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    Chapter 2 A Compressed Cyclic Reduction for QBD processes with Low-Rank Upper and Lower Transitions
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    Chapter 3 Bilateral Matrix-Exponential Distributions
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    Chapter 4 AutoCAT: Automated Product-Form Solution of Stochastic Models
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    Chapter 5 Markovian Trees Subject to Catastrophes: Would They Survive Forever?
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    Chapter 6 Majorization and Extremal PH Distributions
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    Chapter 7 Acceptance-Rejection Methods for Generating Random Variates from Matrix Exponential Distributions and Rational Arrival Processes
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    Chapter 8 Revisiting the Tail Asymptotics of the Double QBD Process: Refinement and Complete Solutions for the Coordinate and Diagonal Directions
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    Chapter 9 Matrix-Analytic Methods in Stochastic Models
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    Chapter 10 A Fluid Introduction to Brownian Motion and Stochastic Integration
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    Chapter 11 Impact of Dampening Demand Variability in a Production/Inventory System with Multiple Retailers
Attention for Chapter 5: Markovian Trees Subject to Catastrophes: Would They Survive Forever?
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Chapter title
Markovian Trees Subject to Catastrophes: Would They Survive Forever?
Chapter number 5
Book title
Matrix-Analytic Methods in Stochastic Models
Published by
Springer Nature, October 2012
DOI 10.1007/978-1-4614-4909-6_5
Book ISBNs
978-1-4614-4908-9, 978-1-4614-4909-6
Authors

Hautphenne, Sophie, Latouche, Guy, Nguyen, Giang T., Sophie Hautphenne, Guy Latouche, Giang T. Nguyen

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 100%
Readers by discipline Count As %
Mathematics 1 100%

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