Combined type generalized classes of efficient estimators of mean in joint presence of measurement error and non-response using stratified two-phase sampling

Document Type : Article

Authors

Department of Statistics, COMSATS University Islamabad, Lahore Campus, Pakistan

Abstract

In this study, three classes of generalized and more efficient combined regression-cum-ratio estimators are presented to estimate the population mean of the study variable in stratified two-phase sampling considering non-response and measurement error are present jointly. The expressions for the bias and mean square error of the three proposed generalized combined regression-cum-ratio estimators have been obtained. Optimal conditions which make the proposed generalized regression-cum-ratio estimators more efficient than modified combined regression estimator are discussed. The performance of the proposed generalized combined regression-cum-ratio estimators has been compared theoretically as well as empirically with various combined type estimators in stratified two-phase sampling including usual combined ratio estimator, usual combined exponential ratio estimator, usual combined regression estimator, and modified combined regression estimator. An empirical study shows that the proposed generalized combined regression-cum-ratio estimators perform more efficiently than all combined type ratio, exponential ratio, and regression estimators discussed in the study.

Keywords

References

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Scientia Iranica
Volume 31, Issue 18
Transactions on Industrial Engineering (E)
November and December 2024
Pages 1567-1595

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History

  • Receive Date: 01 November 2019
  • Revise Date: 17 June 2021
  • Accept Date: 30 January 2022

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