The Variance Estimation of Calibration Estimators of Population Total under an Unknown Population Total for Auxiliary Variables
Author(s):
Abstract:
Sampling weights are calibrated according to the theory of calibration when the sum of population total for auxiliary variables is known. Under known population، totals for auxiliary variables and some conditions Devile and Sarndal showed that generalized regression estimators could approximate calibration estimators and their variances. In this paper، under unknown population totals for auxiliary variables، an estimator for the population total is proposed and its variance is obtained. It is shown that our estimator for the population total is more efficient than the Horvitz-Thompson estimators by theoretically and simulation results.
Keywords:
Language:
Persian
Published:
Journal of Statistical Sciences, Volume:6 Issue: 1, 2013
Pages:
39 to 54
https://www.magiran.com/p1154107
سامانه نویسندگان
مقالات دیگری از این نویسنده (گان)
-
Classroom Assessment Quality Criteria in Universities Based on Three Assessment Approaches
A'zam Ramezani Sadr, Keivan Salehi*, Ali Moghaddamzadeh, Ebrahim Khodaee, Mohammad Javadipour
Iranian Higher Education, -
Designing a Pattern for Assessing Teaching Readiness in Primary Schools: Applying an Exploratory Mixed Methods Research Design
Mahdi Ghorbankhani, Keyvan Salehi *, , Ali Moghdamzadeh, Marzieh Dehghani
Journal of Higher Education Letter,