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Estimating parameters of factor analysis model maximum likelihood method)) by using EM algorithm with application

Thanoon alshakerchy · University of Mosul, College of Education for Pure Science · 2009

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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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APA 7

alshakerchy, T. (2009). Estimating parameters of factor analysis model maximum likelihood method)) by using EM algorithm with application. https://doi.org/10.33899/edusj.2009.57442

MLA

alshakerchy, Thanoon. "Estimating parameters of factor analysis model maximum likelihood method)) by using EM algorithm with application." 2009. https://doi.org/10.33899/edusj.2009.57442.

Chicago

alshakerchy, Thanoon. 2009. "Estimating parameters of factor analysis model maximum likelihood method)) by using EM algorithm with application.". https://doi.org/10.33899/edusj.2009.57442.

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alshakerchy, T. 2009, Estimating parameters of factor analysis model maximum likelihood method)) by using EM algorithm with application, University of Mosul, College of Education for Pure Science, available at: https://doi.org/10.33899/edusj.2009.57442 [Accessed 9 Aug. 2026].

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Titolo
Estimating parameters of factor analysis model maximum likelihood method)) by using EM algorithm with application
Autore / collaboratori
Thanoon alshakerchy
Editore
University of Mosul, College of Education for Pure Science
Anno di pubblicazione
2009
ISSN
1812-125X
ISSN
1812-125X
Lingua
Inglés

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