New Exponential Ratio Estimators using Auxiliary Information in Adaptive Cluster Sampling

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ID: 316187
2017
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Abstract
In this paper, two Exponential Ratio estimators using auxiliary information in Adaptive Cluster Sampling are proposed to estimate the finite population mean of the study variable. The estimators are proposed by using population coefficient of correlation and standard deviation of the auxiliary information. The expressions of biases and Mean Square Errors of the two proposed estimators are derived. A simulation study is also performed to reveal the efficiency of the two proposed estimators and compare with other estimators in Conventional Sampling and Adaptive Cluster Sampling. The proposed Ratio estimators are proved more efficient than the existing Ratio estimators both in Conventional Sampling and Adaptive Cluster Sampling.
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imported_1780934144_6a26e600db63e Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Muhammad Shahzad Chaudhry, Faiza Liaqat, Muhammad Hanif
Journal Journal of Statistics
Year 2017
DOI
DOI not found
URL
https://jstat.gcu.edu.pk/index.php/jstat/article/view/42
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