A Note on Parameter Estimation for Lazarsfeld's Latent Class Model using the EM Algorithm

1 January 1984

journal article
Published by Taylor & Francis in Multivariate Behavioral Research

Vol. 19 (1) , 79-89
https://doi.org/10.1207/s15327906mbr1901_4

Abstract

Latent class analysis is formulated as a problem of estimating parameters in a finite mixture distribution. The EM algorithm is used to find the maximum likelihood estimates, and the case of categorical variables with more than two categories is considered.

Keywords

MAXIMUM LIKELIHOOD ESTIMATES
LATENT CLASS
ESTIMATING PARAMETERS
EM ALGORITHM
LAZARSFELD'S LATENT
CLASS MODEL
CATEGORICAL VARIABLES

This publication has 0 references indexed in Scilit: