Calibration estimation of population mean in stratified sampling using standard deviation

Oluwagbenga T. Babatunde (), Abimibola V. Oladugba, Ifeoma O. Ude and Ayodeji S. Adubi
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Oluwagbenga T. Babatunde: University of Nigeria
Abimibola V. Oladugba: University of Nigeria
Ifeoma O. Ude: University of Nigeria
Ayodeji S. Adubi: University of Nigeria

Quality & Quantity: International Journal of Methodology, 2024, vol. 58, issue 3, No 7, 2125-2141

Abstract: Abstract In this paper, a new improved calibration estimator for estimating the population mean in the stratified random sampling using standard deviation of the auxiliary variable is proposed. A simulation study was conducted to assess the performance of the estimators in symmetric and skewed populations using absolute relative bias, mean square error and percentage relative efficiency. The results showed that the proposed estimator is more efficient compared to the existing estimators considered in this work.

Keywords: Calibration; Estimator; Stratified sampling; Standard deviation; Mean square error; Bias; Relative efficiency (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1007/s11135-023-01737-1

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