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2021 | 22 | 2 | 125-142

Article title

Developing calibration estimators for population mean using robust measures of dispersion under stratified random sampling

Content

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Abstracts

EN
In this paper, two modified, design-based calibration ratio-type estimators are presented. The suggested estimators were developed under stratified random sampling using information on an auxiliary variable in the form of robust statistical measures, including Gini’s mean difference, Downton’s method and probability weighted moments. The properties (biases and MSEs) of the proposed estimators are studied up to the terms of firstorder approximation by means of Taylor’s Series approximation. The theoretical results were supported by a simulation study conducted on four bivariate populations and generated using normal, chi-square, exponential and gamma populations. The results of the study indicate that the proposed calibration scheme is more precise than any of the others considered in this paper.

Year

Volume

22

Issue

2

Pages

125-142

Physical description

Contributors

author
  • Department of Mathematics, Usmanu Danfodiyo University, Sokoto, Nigeria
author
  • Department of Statistics, Banaras Hindu University, Varanasi, India
author
  • Department of Statistics, Banaras Hindu University, Varanasi, India

References

Document Type

Publication order reference

Identifiers

Biblioteka Nauki
1054567

YADDA identifier

bwmeta1.element.ojs-doi-10_21307_stattrans-2021-019
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