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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| Format: | Article |
| Language: | Arabic |
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College of Education for Pure Sciences
2009-03-01
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| Series: | مجلة التربية والعلم |
| Subjects: | |
| Online Access: | https://edusj.mosuljournals.com/article_57442_6a87594b110388c31cad459f499afb0e.pdf |
| Summary: | 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). |
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| ISSN: | 1812-125X 2664-2530 |