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...
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College of Education for Pure Sciences
2009-03-01
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doaj-7e9cb0fa9e934e8f933830d277a2fe582020-11-25T00:32:50ZaraCollege of Education for Pure Sciencesمجلة التربية والعلم1812-125X2664-25302009-03-0122111312210.33899/edusj.2009.5744257442Estimating parameters of factor analysis model maximum likelihood method)) by using EM algorithm with applicationThanoon alshakerchy0Department financial and banking technical, Technical institute, Ninevah, IraqExpectation 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 analysis model (maximum likelihood method) has been done by using expectation maximization algorithm and applied factor analysis (maximum likelihood method) on data for patients infected with breast cancer, and found from the results importance all of the variables in breast cancer variables except first variable (level of education) and fifth variable (hormone treatment used).https://edusj.mosuljournals.com/article_57442_6a87594b110388c31cad459f499afb0e.pdffactor analysis modelmaximum likelihood methodem algorithm |
collection |
DOAJ |
language |
Arabic |
format |
Article |
sources |
DOAJ |
author |
Thanoon alshakerchy |
spellingShingle |
Thanoon alshakerchy Estimating parameters of factor analysis model maximum likelihood method)) by using EM algorithm with application مجلة التربية والعلم factor analysis model maximum likelihood method em algorithm |
author_facet |
Thanoon alshakerchy |
author_sort |
Thanoon alshakerchy |
title |
Estimating parameters of factor analysis model maximum likelihood method)) by using EM algorithm with application |
title_short |
Estimating parameters of factor analysis model maximum likelihood method)) by using EM algorithm with application |
title_full |
Estimating parameters of factor analysis model maximum likelihood method)) by using EM algorithm with application |
title_fullStr |
Estimating parameters of factor analysis model maximum likelihood method)) by using EM algorithm with application |
title_full_unstemmed |
Estimating parameters of factor analysis model maximum likelihood method)) by using EM algorithm with application |
title_sort |
estimating parameters of factor analysis model maximum likelihood method)) by using em algorithm with application |
publisher |
College of Education for Pure Sciences |
series |
مجلة التربية والعلم |
issn |
1812-125X 2664-2530 |
publishDate |
2009-03-01 |
description |
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 analysis model (maximum likelihood method) has been done by using expectation maximization algorithm and applied factor analysis (maximum likelihood method) on data for patients infected with breast cancer, and found from the results importance all of the variables in breast cancer variables except first variable (level of education) and fifth variable (hormone treatment used). |
topic |
factor analysis model maximum likelihood method em algorithm |
url |
https://edusj.mosuljournals.com/article_57442_6a87594b110388c31cad459f499afb0e.pdf |
work_keys_str_mv |
AT thanoonalshakerchy estimatingparametersoffactoranalysismodelmaximumlikelihoodmethodbyusingemalgorithmwithapplication |
_version_ |
1725318815036735488 |