Computing the Expected Markov Reward Rates with Stationarity Detection and Relative Error Control-Reference-Cited by-同舟云学术

Computing the Expected Markov Reward Rates with Stationarity Detection and Relative Error Control

Published:2016-03-11 Issue:2 Volume:19 Page:445-485
ISSN:1387-5841
Container-title:Methodology and Computing in Applied Probability
language:en
Short-container-title:Methodol Comput Appl Probab

Author:

Suñé Víctor

Publisher

Springer Science and Business Media LLC

Subject

General Mathematics,Statistics and Probability

Link

http://link.springer.com/content/pdf/10.1007/s11009-016-9490-y.pdf

Reference23 articles.

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3. Carrasco JA (2003a) Solving dependability/performability irreducible Markov models using regenerative randomization. IEEE Trans Reliab 52(3):319–329

4. Carrasco JA (2003b) Transient analysis of rewarded continuous time Markov models by regenerative randomization with Laplace transform inversion. Comput J 46(1):84–99

5. Carrasco JA (2004) Transient analysis of some rewarded Markov models using randomization with quasistationarity detection. IEEE Trans Comput 53(9):1106–1120

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