文章基本信息

标题：Modification of Ratio Estimator for Population Mean
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作者：J.O. Muili ; A. Audu
期刊名称：Annals. Computer Science Series
印刷版ISSN：1583-7165
电子版ISSN：2065-7471
出版年度：2019
卷号：17
期号：2
页码：74-78
出版社：Mirton Publishing House, Timisoara
摘要：In this study a ratio type estimator of finite population mean has been proposed under simple random sampling without replacement. The properties of the proposed estimator (Bias and Mean Square Error) have been obtained up to first order of approximation using Taylor’s Series Expansion and the condition for its efficiency over some existing estimators have been established. The minimum value of the mean square error of the proposed estimator has also been derived. The efficiency of proposed estimator based on optimal value of the constant, exhibit significant improvement over the existing estimators considered in the study. Empirical studies were conducted with natural populations to demonstrate the performance of the proposed estimator comparing with some existing estimators. The results of the empirical study show that the proposed estimator performs better than the existing estimators.
关键词：Auxiliary Variable;Efficiency;Mean Square Error.