Simplification to the maximum likelihood function in confirmatory factor analysis

 

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Bibliographic Details
Author: Rojas-Torres, Luis
Format: artículo original
Status:Versión publicada
Publication Date:2016
Description: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.
Country:Portal de Revistas UCR
Institution:Universidad de Costa Rica
Repositorio:Portal de Revistas UCR
Language:Español
OAI Identifier:oai:portal.ucr.ac.cr:article/25283
Online Access:https://revistas.ucr.ac.cr/index.php/matematica/article/view/25283
Keyword:gradient
maximum likelihood function
confirmatory factor analysis
matrices derivation
gradiente
función de máxima verosimilitud
análisis factorial confirmatorio
derivación de matrices