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Latent transition analysis: inference and estimation
Parameters for latent transition analysis (LTA) are easily estimated by maximum likelihood (ML) or Bayesian method via Markov chain Monte Carlo (MCMC). However, unusual features in the likelihood can cause difficulties in ML and Bayesian inference and estimation, especially with small samples. In th...
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| Autori principali: | , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2008
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3158980/ https://ncbi.nlm.nih.gov/pubmed/18069720 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/sim.3130 |
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