Zeinab Mashreghi

University of Winnipeg, Department of Mathematics and Statistics

“Resampling procedures in the presence of missing data applied to high entropy sampling designs”

Date: Thursday, October 12, 2017

In the absence of non-response, a class of bootstrap procedures consists of first creating a pseudo-population from the original sample. Bootstrap samples are then selected from this pseudo-population using the same sampling design utilized to select the original samples; see Booth et al. (1994), Holmberg (1998) and Chauvet (2007), among others. In the context of non-respondents, we develop pseudo-population type bootstrap procedures that can be used even for large sampling fractions to estimate the variance of an imputed estimator. These procedures can be applied to a large class of sampling designs, namely the class of high entropy sampling designs (Berger, 1998, 2011), that includes the Poisson sampling design, the conditional Poisson sampling design (Hàjek, 1964) and the Rao-Sampford design (Rao, 1965; Sampford, 1967). We present two bootstrap schemes: the first leads to a consistent bootstrap variance estimator with respect to the non-response model approach and the second leads to a consistent bootstrap variance estimator with respect to the imputation model approach.

Important Dates

December 11 – December 21: Fall Term Exam Period (includes tests and midterm exams for Fall/Winter Term classes)

December 22 – January 1: Winter Holiday (University Closed)

Upcoming Exam

STAT 3000 A01 Final Exam
Monday, December 18 at 1:30 p.m.

Upcoming Seminar

PIMS lecture: Pauline van den Driessche — Thursday, January 18 at 4 p.m., Robert Schultz Theatre.

Where are they now?

Yung-Ming Chang, Ph.D. (2002)

Yanqing Yi, Ph.D. (2008)