Simplification to the maximum likelihood function in confirmatory factor analysis
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| Автор: | |
|---|---|
| Формат: | artículo original |
| Статус: | Versión publicada |
| Дата публикации: | 2016 |
| Описание: | This paper present the process of simplification of the function maximum likelihood gradient, used in the estimation of confirmatory factor analysis. The gradient obtained is presented infunction of CFA tradition al matrix: Λ, Φ y Θε (regression coefficients, variances of latent variables and error variances). This simplification was performed using matrices derivation laws and yielded an expression for the gradient easy for programing. |
| Страна: | Portal de Revistas UCR |
| Институт: | Universidad de Costa Rica |
| Repositorio: | Portal de Revistas UCR |
| Язык: | Español |
| OAI Identifier: | oai:portal.ucr.ac.cr:article/25283 |
| Online-ссылка: | https://revistas.ucr.ac.cr/index.php/matematica/article/view/25283 |
| Ключевое слово: | gradient maximum likelihood function confirmatory factor analysis matrices derivation gradiente función de máxima verosimilitud análisis factorial confirmatorio derivación de matrices |