Design Based Estimation of Finite Population Mean in Ranked Set Sampling
This Article introduce method of ranked set sampling with replacement (RSSWR) in finite population and express how to computing samples of inclusion probability for this method. The Horvitz-Thompson and Hansen-Hurwtz estimators using auxiliary variables introduce for this design and use 2011-12 Urban Households Income and Income and Expenditure survey data, gathered for Tehran by statistical center of Iran to show some estimators introduced for RSS design are more efficient than corresponding estimators in SRSWOR design.
-
The Effect of Nonresponse Primary Sampling Units on Estimating the Variance of Changes by Jackknife Method (Case Study: Labor Force Survey Data for 2009 and 2010)
*, Maryam Zangeneh, Lida Kalhori Nadrabadi, Marjan Nooreini
Iranian Journal of Official Statistics Studies, -
The Study of Multidimensional Poverty of Iranian Children Based on Sustainable Development Goals
Mohammad Shiri*, Parya Torabi Kahlan, Lida Kalhori, , Tahere Amini
The Economic Reseach,