Some improved ratio, product, and regression estimators of finite population mean when using minimum and maximum values

DOI10.1155/2013/431868zbMath1328.62424OpenAlexW2148526145WikidataQ51131945 ScholiaQ51131945MaRDI QIDQ904591

Javid Shabbir, Manzoor Khan

Publication date: 13 January 2016

Published in: The Scientific World Journal. Probability and Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2013/431868

Mathematics Subject Classification ID

Ridge regression; shrinkage estimators (Lasso) (62J07) Linear regression; mixed models (62J05)

Related Items (3)

Estimation of finite population mean under PPS in presence of maximum and minimum values ⋮ Estimation of finite population mean under probability-proportional-to-size sampling in the presence of extreme values ⋮ Efficiency of ratio, product, and regression estimators under maximum and minimum values, using two auxiliary variables

Cites Work

• Improved class of ratio and product estimators
• Improvement in estimating the population mean in simple random sampling
• Ratio and product estimators in stratified random sampling
• Improved Family of Ratio Estimators in Simple and Stratified Random Sampling

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