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  • 标题:A multivariate regression-cum-exponential estimator for population variance vector in two phase sampling
  • 本地全文:下载
  • 作者:Amber Asghar ; Amber Asghar ; Aamir Sanaullah
  • 期刊名称:Journal of King Saud University - Science
  • 印刷版ISSN:1018-3647
  • 出版年度:2018
  • 卷号:30
  • 期号:2
  • 页码:223-228
  • DOI:10.1016/j.jksus.2017.01.010
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractIn 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.
  • 关键词:Multivariate estimator;Multi-auxiliary variables;Two-phase sampling;Regression estimator;Variance-covariance matrix;Simulation
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