Journal of nonparametric statistics · 2006 · 113 citations · 14 references
EngineeringElectrical EngineeringMathematicsProbability TheoryStochastic ModelingStochastic ProcessesDiscrete-time Stochastic ProcessesMarkov ProcessesReliability ModelingSemi-markov ProcessesAsymptotic NormalityCensored Data ModelingConsistencyDiscrete-time Markov ProcessesFinite-state ProcessesSemi-markov KernelsSemi-markov Reliability ModelsStrong Consistency
We consider a discrete-time semi-Markov process, with a finite state space. Taking a censored history, we obtain empirical estimators for the semi-Markov kernel, semi-Markov transition function, reliability and availability. We study the strong consistency and the asymptotic normality for each estimator.
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Semi-Markov models for partially censored data
Stephen W. Lagakos, C. J. Sommer, Marvin Zelen · Biometrika · 1978 · 191 citations