Improved Exponential Type Ratio Estimator in Double Sampling for Stratification-Reference-Cited by-同舟云学术

Improved Exponential Type Ratio Estimator in Double Sampling for Stratification

Published:2023-09-05 Issue: Volume: Page:
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Author:

Gupta Anurag¹,Tailor Rajesh¹,Barod Nitu¹

Affiliation:

1. Vikram University

Abstract

Abstract The objective of this research is to develop 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 given by Chand (1975). The constructed estimator is compared to the standard unbiased estimator, as well as the estimators of Ige and Tripathi (1987) and Tailor et al. (2014), 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. AMS Subject Classification: 62DO5

Publisher

Research Square Platform LLC

Reference14 articles.

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