AN ALTERNATIVE TO CLASSICAL LATENT CLASS MODELS SELECTION METHODS FOR SPARSE BINARY DATA: AN ILLUSTRATION WITH SIMULATED DATA

AN ALTERNATIVE TO CLASSICAL LATENT CLASS MODELS SELECTION METHODS FOR SPARSE BINARY DATA: AN ILLUSTRATION WITH SIMULATED DATA

Within the context of a latent class model with manifest binary variables, we propose an alternative method that solves the problem of estimating empirical distribution with sparse contingency tables and the chi-square approximation for goodness-of-fit will not be valid. We analyze sparse binary dat...

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Bibliographic Details
Main Author: Carlomagno Araya Alpizar
Format: Article
Language:Spanish
Published: Universidad de Costa Rica 2017-04-01
Series:Revista de Matemática: Teoría y Aplicaciones
Subjects:
sparse data
latent class
goodness-of-fit
binary data
Online Access:https://revistas.ucr.ac.cr/index.php/matematica/article/view/22448

Internet

https://revistas.ucr.ac.cr/index.php/matematica/article/view/22448

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