Stochastic Monotonicity and Queueing Applications of Birth-Death Processes

Language: English

Published by Springer, 1981

0387905472 / 9780387905471

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Druck auf Anfrage Neuware - Printed after ordering - A stochastic process {X(t): 0 S t i}, i E S, are increasing (decreasing) with t on T. Stochastic monotonicity is a basic structural property for process behaviour. It gives rise to meaningful bounds for various quantities such as the moments of the process, and provides the mathematical groundwork for approximation algorithms. Obviously, stochastic monotonicity becomes a more tractable subject for analysis if the processes under consideration are such that stochastic mono tonicity on an inter val 0 t E implies stochastic monotonicity on the entire time axis. DALEY (1968) was the first to discuss a similar property in the context of discrete time Markov chains. Unfortunately, he called this property 'stochastic monotonicity', it is more appropriate, however, to speak of processes with monotone transition operators. KEILSON and KESTER (1977) have demonstrated the prevalence of this phenomenon in discrete and continuous time Markov processes. They (and others) have also given a necessary and sufficient condition for a (temporally homogeneous) Markov process to have monotone transition operators. Whether or not such processes will be stochas tically monotone as defined above, now depends on the initial state distribution. Conditions on this distribution for stochastic mono tonicity on the entire time axis to prevail were given too by KEILSON and KESTER (1977).…

Seller Inventory # 9780387905471

Title
Stochastic Monotonicity and Queueing Applications of Birth-Death Processes
Author
Erik Van Doorn
Publisher
Springer
Publication year
1981
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
0387905472
ISBN 13
9780387905471
Item weight
201 grams
Dimensions
235x155x8 mm

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