Calibration Weights Estimation in Stratified Random Sampling for Multiple Skewed Variables

Helmy, Asmaa; Hamid, Ramadan; Alatyeb, Lobna; Elrefaey, Abeer

doi:10.21608/caf.2024.392545

Calibration Weights Estimation in Stratified Random Sampling for Multiple Skewed Variables

المؤلفون

¹ Assistant Lecturer of Statistics Faculty of commerce, Al-Azhar University Girl's Branch, Cairo, Egypt.

² Professor of StatisticsFaculty of Economics and Political Science, Cairo University, Egypt. Research Professor, Social Research Center, AUC

³ Professor of Statistics and Dean of Faculty of commerce, Al-Azhar University Girl's Branch, Cairo, Egypt.

⁴ Assistant Professor of Statistics Faculty of commerce, Al-Azhar University Girl's Branch, Cairo, Egypt.

10.21608/caf.2024.392545

المستخلص

The calibration estimation has been applied in different fields and it constitutes a setup for many statistical problems. It has become an important topic in recent research on estimation in survey sampling. Calibration provides a systematic way to incorporate auxiliary information in the procedure. In this paper, using a Goal Programming (GP) model is newly suggested for the estimation of calibration weights in stratified random sample. This paper considers the skewed variables case with different calibration constraints as a result of using log-normal distribution for the study variable in stratified sample survey, and applied the suggested model to Egyptian Labor Market data. The results of the proposed approach for this survey are satisfying.

الكلمات الرئيسية