Zeinab Mashreghi

Zeinab Mashreghi Title: Associate Professor, Statistics
Office: 6L40
Building: Lockhart Hall
Phone: 204.786.9366
Email: z.mashreghi@uwinnipeg.ca

Degrees:

Ph.D. in Statistics, Université de Montréal.
M.Sc. in Statistics (Direct promotion to Ph.D program), Université de Montréal.
M.Sc. in Pure Mathematics, Université Laval.
B.Sc. in Applied Mathematics, University of Kashan, Iran.

Biography:

Zeinab received her master's degree in Pure Mathematics from Laval University. Due to her interests in Statistics, she completed a second master's program followed by her doctoral studies in this field at the University of Montréal. Her main research interests include sampling theory, especially in the fields of non-response, resampling methods, imputation, and variance estimation.

cv-zeinab-mashreghi.pdf

Affiliations:

Assistant Professor, University of Winnipeg, Since January 2016.

Courses:

  • Survey Sampling II (STAT-3302)
  • Survey Sampling I (STAT-2301)
  • Statistics in Research I (STAT-3103)
  • Statistical Analysis I (STAT-1301)
  • Statistical Analysis II (STAT-1302)
  • Elementary Biological Statistics I (STAT-1501)

Research Interests:

Sampling Methodology, Bootstrap, Imputation, Variance Estimation.

Dr. Mashreghi currently holds an NSERC Discovery Grant, which allows her to support students in research positions. Contact her to learn about research opportunities.

Publications:

  • Mashreghi, Z. and Deng, H. (2019). Rescaling Bootstrap Method for Imputed Survey Data, Submitted.
  • Chen S., Haziza, D. and Mashreghi, Z. (2019). Multiply robust bootstrap variance estimation in the presence of singly imputed survey data. Submitted.
  • Chen S., Haziza, D., Léger, C. and Mashreghi, Z. (2019). Pseudo-population Bootstrap Methods for Imputed Survey Data. Biometrika, 106(2), 369–384.
  • Mashreghi, Z., Haziza, D. and Léger, C. (2016). A Survey of Bootstrap Methods in Finite Population Sampling. Statistics Surveys, 10, 1–52.
  • Mashreghi, Z., Léger, C. and Haziza, D. (2014). Bootstrap Methods for Imputed Data from Regression, Ratio and Hot deck Imputation. The Canadian Journal of Statistics, 42(1), 142–167.
  • Mashreghi Z. (2010). Bootstrap Variance Estimation in the Presence of Imputed Data. Report Submitted to Statistics Canada at End of MITACS Internship.                                   https://www150.statcan.gc.ca/n1/pub/12-206-x/2011000/research-recherche-eng.htm