Shereen Hamdy Abdel Latif
shereen's web site
Cairo University, Faculty of Graduate Studies for Statistical Research (FGSR), Room 519
(email)
Publications
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2024
Megally, A., A. Youssef, and S. H. Abdel-Latif,
"
Heterogeneous Three-Dimensional Panel Data Models
",
J. Stat. Appl. Pro.
, vol. 13, issue 3, pp. 919-927, 2024.
2023
Massieh, P. M. A. E., A. M. Mohamed, M. I. Mostafa, and S. H. A. Latif,
"
Comparing The Performance of Penalized Logistic Regression versus other Machine Learning Algorithms in Predicting Phenotypes of Ectodermal Dysplasia Patients
",
Interciencia Journal
, vol. 48, issue 12, pp. 2-37, 2023.
Youssef, A. H., E. S. Mohamed, and S. H. A. Latif,
"
Handling multi-collinearity using principal component analysis with the panel data model
",
EUREKA: Physics and Engineering
, issue 1, pp. 177-188, 2023.
Saad, M. R., A. H. Youssef, and S. A. H. Latif,
"
The Performance of Quantile Regression and Linear Regression with Heteroskedasticity Was Compared in a Simulation Study
",
Journal of Statistics Applications & Probability
, vol. 12, issue 2, pp. 635-655, 2023.
Abozaid, E. S., S. A. H. Latif, and S. M. Mohamed,
"
Profile Monitoring of Residual Control Charts under Gamma Additive Models
",
Thailand Statistician
, vol. 21, issue 4, pp. 824-838, 2023.
2022
Yussef, S. N., A. H. Youssef, and S. H. Abdel-Latif,
"
Performance of new liu-type logistic estimators in combating multicollinearity
",
J. Stat. Appl. Pro
, vol. 11, issue 3, pp. 1057-1073, 2022.
Latif, S. H. A., A. S. Alwan, and A. M. Mohamed,
"
Principal component analysis as tool for data reduction with an application
",
EUREKA: Physics and Engineering
, issue 5, pp. 184-198, 2022.
Mohamed, S. M., E. S. Abozaid, and S. H. A. Latif,
"
Profile Monitoring of Residuals Control Charts Under Gamma Regression Model
",
Eastern-European Journal of Enterprise Technologies
, vol. 6, issue 4(120), pp. 23–31, 2022.
2021
Mohamed, A. M., S. H. Abdel Latif, and S. H. Abdel Latif,
"
Support Vector Regression Is an Improvement for Principle Component Analysis
",
. JUSST
, vol. 23, issue 6, pp. 1699-1715, 2021.
2018
Abdel Latif, S. H., S. M. Elsayed, and A. M. Mousa,
"
Resampling Estimation for Sampling Error in Complex Sampling Surveys
",
The 6th International Scientific Conference for Arab Statisticians Union
, 746-760, 2018.
2016
Abd El-Lateef, S. H., S. M. El Gayar, and A. M. Mousa,
"
Resampling Estimation for Prediction Error in Linear Models under Least Absolute Deviation Fit
",
The 28th Annual International Conference on Statistics and Modeling in Human and Social Sciences
, Faculty of Economics and Political Science, 30 Mar., 2016.
Mousa, A. M., S. M. Elsayed, and S. H. Abdel Latif,
"
A General Delete-Group Jackknife Variance Estimator for Stratified Sampling Survey
",
Advances and Applications in Statistics
, vol. 49, issue 5, pp. 327-341, 2016.
Mousa, A. M., S. M. Elsayed, and S. H. Abdel Latif,
"
A General Jackknife within Each Stratum Variance Estimator
",
International Journal of Engineering and Applied Sciences
, vol. 3, issue 3, pp. 65-67, 2016.
2015
Elsayed, S. M., and S. H. Abdel Latif,
"
A General Delete-Group Jackknife Variance Estimator for Stratified Sampling Survey
",
The 50th Annual Conference on Statistics, Computer Sciences, and Research, Applied Statistics
, ISSR, Cairo University, pp. 1-9, 2015.
El-Sayed, S. M., and A. S. H. Latif,
"
General Jackknife Variance Estimator for Stratified Sampling Survey
",
International Mathematical Forum
, vol. 10, issue no. 8, pp. 377-383, 2015.
2013
Abd El-Lateef, S. H., and S. M. El Gayar,
"
Resampling estimation for prediction error in linear regression model
",
The 47th Annual Conference on Statistics, Computer Sciences, and Research, Applied Statistics
, ISSR, CairoUniversity, Cairo., 2013.
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Recent Publications
Heterogeneous Three-Dimensional Panel Data Models
Comparing The Performance of Penalized Logistic Regression versus other Machine Learning Algorithms in Predicting Phenotypes of Ectodermal Dysplasia Patients
The Performance of Quantile Regression and Linear Regression with Heteroskedasticity Was Compared in a Simulation Study
Profile Monitoring of Residual Control Charts under Gamma Additive Models
Handling multi-collinearity using principal component analysis with the panel data model
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