Improved exponential type ratio estimator in double sampling for stratification

The objective of this research is to create a chain-ratio-type exponential estimator in order to estimate the finite population mean in double sampling for stratification. An estimator for population mean has been constructed based on the concept of chain-ratio estimators. The constructed estimator...

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Bibliographic Details
Published in:Scientific reports 2023-12, Vol.13 (1), p.22520-22520, Article 22520
Main Authors: Gupta, Anurag, Tailor, Rajesh, Barod, Nitu
Format: Article
Language:English
Subjects:
639/705/1041
639/705/531
Humanities and Social Sciences
multidisciplinary
Population
Sample size
Sampling
Science
Science (multidisciplinary)
Variables
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Summary:The objective of this research is to create a chain-ratio-type exponential estimator in order to estimate the finite population mean in double sampling for stratification. An estimator for population mean has been constructed based on the concept of chain-ratio estimators. The constructed estimator is compared to the standard unbiased estimator, as well as the other relevant existing estimators and conditions are shown to yield better results in terms of efficiency. To support the theoretical results the study has been done on both natural as well as simulated populations.
ISSN:2045-2322
2045-2322
DOI:10.1038/s41598-023-49772-0