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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Abstract
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
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| Authors | ;Amber Asghar;Aamir Sanaullah;Muhammad Hanif |
| Journal | cenraps journal of social sciences |
| Year | 2018 |
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