Joint coverage probability in a simulation study on Continuous-Time Markov Chain parameter estimation
Parameter dependency within data sets in simulation studies is common, especially in models such as Continuous-Time Markov Chains (CTMC). Additionally, the literature lacks a comprehensive examination of estimation performance for the likelihood-based general multi-state CTMC. Among studies attempti...
| Veröffentlicht in: | Journal of applied statistics. - 1991. - 42(2015), 12 vom: 01., Seite 2531-2538 |
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| Format: | Online-Aufsatz |
| Sprache: | English |
| Veröffentlicht: |
2015
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| Zugriff auf das übergeordnete Werk: | Journal of applied statistics |
| Schlagworte: | Journal Article Alzheimer’s disease continuous-time Markov chain estimation: joint coverage probability longitudinal study |
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