Staff

اميرة مصطفى المصري

اميرة مصطفى المصري

اميرة مصطفى المصري


amera_elmasry@himc.psu.edu.eg


كلية تكنولوجيا الإدارة ونظم المعلومات ببورسعيد


التكنولوجيا الاقتصادية والكمية


مدرس


ش الجلاء برج النعيم بورفؤاد -بورسعيد


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Biography

Dedicated and detail-oriented academic professional with a Doctorate in Statistics, specializing in Applied Statistics, Econometrics, and Data Analysis. Passionate about teaching, research, and applying statistical methodologies to real- world problems. Seeking opportunities to contribute to higher education and statistical research through innovative instruction and advanced data analysis.

Educational Qualification

Ph.D. in Statistics – Faculty of Graduate Studies of Statistical Research, Cairo University – 2023

M.Sc. in Statistics – Faculty of Commerce, Port Said University – 2015

B.Sc. in Business Administration (Management Information Systems) – Port Said University – 2010 – Grade: Excellent

Academic And Professional Experience

Current Position Doctor of Statistics

Faculty of Management Technology and Information Systems Department of Statistics

Port Said University, Egypt

Teaching Experience

Faculty of Management Technology and Information Systems, Port Said University

Teaching courses in Applied Statistics, Descriptive Statistics, Differentiation and Integration, and Mathematics.

Faculty of Pharmacy, East Port Said National University Teaching undergraduate Mathematics courses.

Personal Skills:

  • Applied Statistics SPSS
  • R Statistical Package
  • E-Views
  • Econometrics
  • Statistical Analysis
  • Time Series Analysis
  • Linear and Logistic Regression
  • Multivariate Data Analysis
  • Advanced Probability
  • Numerical Analysis
  • Sampling Theory
  • Stochastic Processes
  • Descriptive Statistics
  • Statistical Inference
  • Advanced Multivariate Analysis
  • Directed Reading

Publications

1- Modified Two-Parameter Liu Estimator for Addressing Multicollinearity in the Poisson Regression Model.

2- New robust estimators for the fixed effects negative binomial model: asimulation and real-world applications to European panel data.

3- ANEW  GAMMA REGRESSION ESTIMATE OF FEMALE BODY FAT PERCENTAGE: ADVANCED STATISTICAL MODELING.

4- USING LOGIT PANEL DATA MODELING TO STUDY IMPORTANT FACTORS AFFECTING DELAYED COMPLETION OF ADJUVANT CHEMOTHERAPY FOR BREAST CANCER PATIENTS.

5- EXAMINING FACTORS AFFECTING DELAYED COMPLETION OF ADJUVANT CHEMO FOR PATIENTS WITH BREAST CANCER: DEVELOPMENT OF RIDGE LOGISTIC PANEL ESTIMATORS.

6- Development of Ridge and Liu Regression Estimator for the logistic Panel Data Model: Methods and Simulation.

7- Using the Multivariate Statistical Analysis in Determining the Most Important Factors Casing Poverty" Applied to Port-Said Pgovernorate"

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