Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/316379 
Year of Publication: 
2023
Citation: 
[Journal:] CBN Journal of Applied Statistics [ISSN:] 2476-8472 [Volume:] 14 [Issue:] 1 [Year:] 2023 [Pages:] 1-23
Publisher: 
The Central Bank of Nigeria, Abuja
Abstract: 
This paper modifies the Bahl and Tuteja exponential ratio-type estimator for population median under simple random and stratified sampling schemes using calibration weight adjustment technique with supplementary information to vary the stratum weights. The bias and mean square error of the modified estimator were obtained up to the second-order approximation, which satisfies the necessary conditions for efficiency. The findings show that the new estimator surpasses existing estimators in efficiency gain. This suggests the appropriateness of calibration weight modification in boosting the efficiency of a population parameter estimator under stratified random sampling especially where the population parameter of the auxiliary variable is known and correlate with the variable of interest.
Subjects: 
Bias
calibration estimation
mean square error
stratified sampling
JEL: 
C82
C83
Persistent Identifier of the first edition: 
Document Type: 
Article

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