Latent Markov models for longitudinal data
Preface. Latent Markov models represent an important class of latent variable models for the analysis of longitudinal data, when the response variables measure common characteristics of interest which are not directly observable. Typically, the response variables are categorical, even if nothing pre...
| Otros Autores: | , , |
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| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Boca Raton :
CRC Press
[2012]
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| Edición: | 1st edition |
| Colección: | Statistics in the social and behavioral sciences series.
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| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009629680206719 |
Tabla de Contenidos:
- Front Cover; Contents; List of Figures; List of Tables; Preface; Chapter 1 - Overview on latent Markov modeling; Chapter 2 - Background on latent variable and Markov chain models; Chapter 3 - Basic latent Markov model; Chapter 4 - Constrained latent Markov models; Chapter 5 - Including individual covariates and relaxing basic model assumptions; Chapter 6 - Including random effects and extension to multilevel data; Chapter 7 - Advanced topics about latent Markov modeling; Chapter 8 - Bayesian latent Markov models; Appendix A - Software; List of Main Symbols; Bibliography; Back Cover
