Estimation of coefficient of quartile deviation in case of missing data

  • SCI-E
作者: Singh, G. N.;Usman, M.
作者机构: Indian Sch Mines, Indian Inst Technol, Dept Math & Comp, Dhanbad 826007, Bihar, India.
语种: 英文
关键词: Population coefficient of quartile deviation;auxiliary information;efficiency;missing data
期刊: COMMUNICATIONS IN STATISTICS-THEORY AND METHODS
ISSN: 0361-0926
年: 2021
基金类别: Indian Institute of Technology (Indian School of Mines), DhanbadIndian Institute of Technology (Indian School of Mines) Dhanbad
摘要: Ambati, Sedory, and Singh (2018) proposed an estimator for estimating the population coefficient of quartile deviation in the presence of complete information. In this note, focusing on the same goal, we have considered the problem of missing data. We have proposed one ratio and three regression type estimators by introducing a new adjustment technique of missing information. We obtain the expressions of bias and mean square error of proposed estimators under large sample approximation, and compare the results via the efficiency comparisons. The merits of proposed estimators are investigated under a numerical study consisting of four real data sets. The efficient performances of the proposed estimators have also been discussed through a simulation study.

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Estimation of coefficient of quartile deviation in case of missing data
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