Calibration-Enhanced Estimation of Population Mean with Multi-Auxiliary Information in Stratified Sampling
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Authors
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Neha Garg
Indira Gandhi National Open University, New Delhi
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Sneha
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Menakshi Pachori
Dr. B.R. Ambedkar University, Agra
Keywords:
Auxiliary variable; Calibration estimation; Coefficient of variation; Mean; Mean Squared Error; Stratified sampling.Abstract
Calibration estimation plays an important role in improving the accuracy of population parameter estimates using available auxiliary information.
In this paper, we propose two calibration estimators of the population mean using multi-auxiliary variables under stratified random sampling. These
suggested calibration estimators incorporate the coefficients of variation of multi-auxiliary variables. The performance of the recommended estimators
was compared with the estimators given by Rao et al. (2012) and Garg and Pachori (2020) through a simulation study in R software. The results
showed that the recommended estimators are more effective and precise than the existing estimators under a stratified random sampling scheme.
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