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An Improved Estimator of the Population Mean under Double Sampling using Median

R. E. Kurbah & Phrangstone Khongji

International Journal of Ecological Economics and Statistics2021article
AJG 1
Weight
0.26

What the paper says

It is a well-known fact that the utilization of auxiliary information for estimating a parameter of a study variable enhances the efficiency of the estimator. In this paper, we have considered a regression estimator under doubling sampling involving two auxiliary variables which makes use of the sample mean and sample median of the auxiliary variables of both phases. It is found that the proposed estimator is more efficient than the one proposed by Vadlamudi (2017) with one auxiliary variable. The study was tested empirically using simulated data. The study is also generalized for k(greater than 1) variables.

Cite this paper

@article{r.2021,
  title        = {{An Improved Estimator of the Population Mean under Double Sampling using Median}},
  author       = {R. E. Kurbah & Phrangstone Khongji},
  journal      = {International Journal of Ecological Economics and Statistics},
  year         = {2021},
}

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An Improved Estimator of the Population Mean under Double Sampling using Median

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Evidence weight

0.26

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.00 × 0.4 = 0.00
M · momentum0.20 × 0.15 = 0.03
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.