Randomization Procedures in the Computation of Cumulative-Time Distributions over Discrete State Markov Processes
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DOI: 10.1287/opre.32.4.926
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Cited by:
- Juan A. Carrasco, 2013. "A New General-Purpose Method for the Computation of the Interval Availability Distribution," INFORMS Journal on Computing, INFORMS, vol. 25(4), pages 774-791, November.
- Jamal Temsamani & Juan A. Carrasco, 2006. "Transient analysis of Markov models of fault‐tolerant systems with deferred repair using split regenerative randomization," Naval Research Logistics (NRL), John Wiley & Sons, vol. 53(4), pages 318-353, June.
- Dijk, N.M. van, 1991. "Letters to the editor : on a simple proof of uniformization for continuous and discrete-state continuous-time Markov chains," Serie Research Memoranda 0002, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
- Michel Mandjes & Birgit Sollie, 2022. "A Numerical Approach for Evaluating the Time-Dependent Distribution of a Quasi Birth-Death Process," Methodology and Computing in Applied Probability, Springer, vol. 24(3), pages 1693-1715, September.
- Chen, Weiwei & Kumcu, Gül Çulhan & Melamed, Benjamin & Baveja, Alok, 2023. "Managing resource allocation for the recruitment stocking problem," Omega, Elsevier, vol. 120(C).
- Papadopoulos, H. T., 1998. "An approximate method for calculating the mean sojourn time of K-station production lines with no intermediate buffers," International Journal of Production Economics, Elsevier, vol. 54(3), pages 297-305, May.
- Dijk, N.M. van, 1991. "On uniformization for nonhomogeneous Markov chains," Serie Research Memoranda 0006, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
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Keywords
114 randomization procedures; 115 queueing networks; 683 sojourn time distributions;All these keywords.
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