Improved exponential type ratio estimator in double sampling for stratification

被引：0
|
作者：
Gupta, Anurag [1 ]
Tailor, Rajesh [1 ]
Barod, Nitu [1 ]
机构：
[1] Vikram Univ, Sch Studies Stat, Ujjain 456010, MP, India
来源：
SCIENTIFIC REPORTS | 2023年 / 13卷 / 01期
关键词：
D O I：
10.1038/s41598-023-49772-0
中图分类号：
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
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.
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页数：10
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