a multivariate regression-cum-exponential estimator for population variance vector in two phase sampling

Amber Asghar; Aamir Sanaullah; Muhammad Hanif

a multivariate regression-cum-exponential estimator for population variance vector in two phase sampling

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ID: 244255

2018

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Ranked #18 of 30 articles by views in cenraps journal of social sciences

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Abstract

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In this study we have proposed a multivariate regression-cum-exponential type estimator for estimating a vector of population variance. In the present study, unknown population variance vector estimation has been discussed using multi-auxiliary variables in two-phase sampling and different cases have also been derived. A comparison between existing and the proposed multivariate, bivariate and univariate estimators has been prepared with the help of a real data for estimating population variance. A simulation study for multivariate estimator using multi-auxiliary variables has also been carried out to demonstrate the performance of the estimators. Keywords: Multivariate estimator, Multi-auxiliary variables, Two-phase sampling, Regression estimator, Variance-covariance matrix, Simulation

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Reference Key	asghar2018journala Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors	Amber Asghar, Aamir Sanaullah, Muhammad Hanif Are you one of these authors? Claim your profile
Journal	cenraps journal of social sciences
Year	2018
DOI	DOI not found Searching for DOI...
URL	http://www.sciencedirect.com/science/article/pii/S1018364716305997
Keywords	Science (General)

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