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Generalized Multivariate Exponential Type (GMET) Estimator using Multi-auxiliary Information under Two-phase Sampling.

Author(s)
Ayesha Ayaz Department of Statistics, National College of Business Administration and Economics, Lahore, Pakistan
Zahoor Ahmad ORIC, Lahore Garrison University, Lahore, Pakistan
Aamir Sanaullah Department of Statistics, COMSATS Institute of Information Technology, Lahore, Pakistan
Muhammad Hanif Department of Statistics, National College of Business Administration and Economics, Lahore, Pakistan
Abstract
In this paper, a generalized multivariate exponential type estimator is proposed in two-phase sampling using multi-auxiliary variables when population information on some auxiliary variables is not available. The variance covariance matrix of the proposed estimator is derived by using simple random sampling without replacement scheme. Some special cases of proposed estimator are also deduced. Finally, empirical as well as simulation study is conducted to assess the performance of proposed estimator.
Publication Details
Page(s) 119-136
DOI DOI not available
Published Journal: Pakistan Journal of Statistics, Volume: 34, Issue: 2, Year: 2018

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