New calibration estimator in stratified sampling


Ozgul N.

JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION, vol.88, no.13, pp.2561-2572, 2018 (Journal Indexed in SCI) identifier identifier

  • Publication Type: Article / Article
  • Volume: 88 Issue: 13
  • Publication Date: 2018
  • Doi Number: 10.1080/00949655.2018.1478417
  • Title of Journal : JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION
  • Page Numbers: pp.2561-2572

Abstract

This paper develops the theory of calibration estimation and proposes calibration approach alternative to existing calibration estimators for estimating population mean of the study variable using auxiliary variable in stratified sampling. The theory of new calibration estimation is given and optimum weights are derived. A simulation study is carried out to performance of the proposed calibration estimator with other existing calibration estimators. The results reveal that the proposed calibration estimators are more efficient than Tracy et al., Singh et al., Singh calibration estimators of the population mean.