Add to ORKGRandomization is a popular method for the transient solution of continuous-time Markov models. Its primary advantages over other methods (i.e., ODE solvers) are robustness and ease of implementation. It is however well-known that the performance of the method deteriorates with th
Abstract—Rewarded homogeneous continuous-time Markov chain (CTMC) models can be used to analyze perf...
Rewarded homogeneous continuous-time Markov chain (CTMC) models can be used to analyze performance, ...
In this paper we develop a variant of a previously proposed method (the regenerative randomization m...
Randomization is a popular method for the transient solution of continuous-time Markov models. Its p...
The (standard) randomization method is an attractive alternative for the transient analysis of conti...
In this paper, we develop a new method, called regenerative randomization, for the transient analysi...
appeared in reduced form in Communications in Statistics—Simulation and Computation In this paper, w...
In this paper we generalize a method (called regenerative randomization) for the transient solution ...
In this paper we develop a variant, regenerative randomization with Laplace transform inversion, of ...
Markov models are commonly used to asses the dependability/performability of fault-tolerant systems....
appeared in reduced version in Communications in Statistics—Simulation and Computation Randomization...
Randomization is an attractive alternative for the transient analysis of continuous time Markov mod...
Markov regenerative processes are continuous‐time stochastic processes with more general conditions ...
Abstract. In this paper we develop a variant of a previously proposed method (the regenerative rando...
Time-sharing queueing systems in random environments allow only a limited-depth analytical study. In...
Abstract—Rewarded homogeneous continuous-time Markov chain (CTMC) models can be used to analyze perf...
Rewarded homogeneous continuous-time Markov chain (CTMC) models can be used to analyze performance, ...
In this paper we develop a variant of a previously proposed method (the regenerative randomization m...
Randomization is a popular method for the transient solution of continuous-time Markov models. Its p...
The (standard) randomization method is an attractive alternative for the transient analysis of conti...
In this paper, we develop a new method, called regenerative randomization, for the transient analysi...
appeared in reduced form in Communications in Statistics—Simulation and Computation In this paper, w...
In this paper we generalize a method (called regenerative randomization) for the transient solution ...
In this paper we develop a variant, regenerative randomization with Laplace transform inversion, of ...
Markov models are commonly used to asses the dependability/performability of fault-tolerant systems....
appeared in reduced version in Communications in Statistics—Simulation and Computation Randomization...
Randomization is an attractive alternative for the transient analysis of continuous time Markov mod...
Markov regenerative processes are continuous‐time stochastic processes with more general conditions ...
Abstract. In this paper we develop a variant of a previously proposed method (the regenerative rando...
Time-sharing queueing systems in random environments allow only a limited-depth analytical study. In...
Abstract—Rewarded homogeneous continuous-time Markov chain (CTMC) models can be used to analyze perf...
Rewarded homogeneous continuous-time Markov chain (CTMC) models can be used to analyze performance, ...
In this paper we develop a variant of a previously proposed method (the regenerative randomization m...