Journal of King Saud University: Science (Apr 2018)

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

  • Amber Asghar,
  • Aamir Sanaullah,
  • Muhammad Hanif

Journal volume & issue
Vol. 30, no. 2
pp. 223 – 228

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