Estimating parameters of factor analysis model maximum likelihood method)) by using EM algorithm with application
Expectation maximization algorithm (EM) is used to create estimator with the same qualities of maximum likelihood Estimator taking into consideration the existence of two types of data, Data viewing (observed data) and hidden data (missing data), in this research the estimating parameters of factor...
Main Author: | Thanoon alshakerchy |
---|---|
Format: | Article |
Language: | Arabic |
Published: |
College of Education for Pure Sciences
2009-03-01
|
Series: | مجلة التربية والعلم |
Subjects: | |
Online Access: | https://edusj.mosuljournals.com/article_57442_6a87594b110388c31cad459f499afb0e.pdf |
Similar Items
-
Implementing and evaluating the nested maximum likelihood estimation technique
by: Denis Cousineau
Published: (2007-03-01) -
Modified Maximum Pseudo Likelihood Method of Copula Parameter Estimation for Skewed Hydrometeorological Data
by: Kyungwon Joo, et al.
Published: (2020-04-01) -
Modified Maximum Likelihood Estimations of the Epsilon-Skew-Normal Family
by: Parichehr Jamshidi, et al.
Published: (2020-12-01) -
PROPERTIES OF THE MAXIMUM LIKELIHOOD ESTIMATES OF THE EXPONENT OF PARETO DISTRIBUTION
by: I. S. Pulkin, et al.
Published: (2018-12-01) -
Usage of Penalized Maximum Likelihood Estimation Method in Medical Research: An Alternative to Maximum Likelihood Estimation Method
by: Ecevit Eyduran
Published: (2008-12-01)