Likelihood Inference for a Class of Latent Markov Models under Linear Hypotheses on the Transition Probabilities
For a class of latent Markov models for discrete variables having a longitudinal structure, we introduce an approach for formulating and testing linear hypotheses on the transition probabilities of the latent process. For the maximum likelihood estimation of a latent Markov model under hypotheses of...
Veröffentlicht in: | Journal of the Royal Statistical Society. Series B (Statistical Methodology). - Blackwell Publishers. - 68(2006), 2, Seite 155-178 |
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Format: | Online-Aufsatz |
Sprache: | English |
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2006
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Zugriff auf das übergeordnete Werk: | Journal of the Royal Statistical Society. Series B (Statistical Methodology) |
Schlagworte: | Boundary Problem Constrained Statistical Inference EM Algorithm Item Response Theory Latent Class Model Longitudinal Data Mathematics Behavioral sciences Applied sciences |
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