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...

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Publié dans:	Journal of applied statistics. - 1991. - 42(2015), 12 vom: 01., Seite 2531-2538
Auteur principal:	Benoit, Julia S (Auteur)
Autres auteurs:	Chan, Wenyaw, Doody, Rachelle S
Format:	Article en ligne
Langue:	English
Publié:	2015
Accès à la collection:	Journal of applied statistics
Sujets:	Journal Article Alzheimer’s disease continuous-time Markov chain estimation: joint coverage probability longitudinal study