文章基本信息

标题：A Class of Estimators for Population Ratio in Simple Random Sampling Using Variable Transformation
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作者：A. C. Onyeka ; V. U. Nlebedim ; C. H. Izunobi 等
期刊名称：Open Journal of Statistics
印刷版ISSN：2161-718X
电子版ISSN：2161-7198
出版年度：2014
卷号：04
期号：04
页码：284-291
DOI：10.4236/ojs.2014.44029
语种：English
出版社：Scientific Research Publishing
摘要：This paper is an extension and generalization of the study carried out by [1] on the estimation of the population ratio (R) of the population means of two variables (y and x) under Simple Random Sampling (SRS) scheme, using a variable transformation of the auxiliary variable, x. All the six estimators proposed by [1] are easily identified as special cases of the proposed class of estimators. Asymptotic properties of the proposed class of estimators are derived theoretically and subsequently verified using empirical illustrations. Some of the proposed estimators are found to have relatively large gains in efficiency over the customary ratio estimator, for the given data set.
关键词：Variable Transformation; Ratio; Product and Regression-Type Estimators; Mean Squared Error