Twofold Auxiliary Information Under Two-Phase Sampling: An Improved Family of Double-Transformed Variance Estimators

Twofold Auxiliary Information Under Two-Phase Sampling: An Improved Family of Double-Transformed Variance Estimators

Outlier values and rankings are important for emphasizing data distribution variability, which improves the accuracy and effectiveness of variance estimations. To enhance the estimation of finite population variance in a two-phase sampling framework, this study presents an improved class of double e...

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Bibliographic Details
Main Authors: Umer Daraz, Della Agustiana, Jinbiao Wu, Walid Emam
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Axioms
Subjects:
double exponential estimators
variance estimation
two-phase sampling
outlier values
ranks
bias
Online Access:https://www.mdpi.com/2075-1680/14/1/64
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