文章基本信息

标题：Estimation of general parameters using auxiliary information in simple random sampling without replacement
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作者：Nitesh Kumar Adichwal ; Nitesh Kumar Adichwal ; Abdullah Ali H. Ahmadini 等
期刊名称：Journal of King Saud University - Science
印刷版ISSN：1018-3647
出版年度：2022
卷号：34
期号：2
页码：1-7
DOI：10.1016/j.jksus.2021.101754
语种：English
出版社：Elsevier
摘要：AbstractEstimation of population parameters plays a vital role in the area of sampling. Many authors have proposed several estimators for estimating population parameter(s) using auxiliary information. This paper has attempted to suggest a new estimator for estimating the general parameterta,busing auxiliary information in simple random sampling without replacement (SRSWOR). A conventional estimatorta,bis used to define the population constants: coefficient of variation, population mean, standard deviation, and population mean square. The expression for the minimum mean squared error has been derived. The efficiency of the suggested estimator and the existing estimators has been analyzed using a simulation study. Theoretical and empirical studies reveal the effectiveness of the proposed estimator over other existing estimators.
关键词：Auxiliary variable;Conventional estimator;MSE;Efficiency;Simulation study