文章基本信息

标题：Efficiency Of Audu & Adewara (2017) Two-Phase Factor-Type Estimators With Two Auxiliary Variables In Sample Survey
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作者：A. Audu ; A. A. Adewara
期刊名称：Annals. Computer Science Series
印刷版ISSN：1583-7165
电子版ISSN：2065-7471
出版年度：2017
卷号：15
期号：2
页码：123-127
出版社：Mirton Publishing House, Timisoara
摘要：In this paper, efficiency of Audu & Adewara (2017) two-phase factor-type estimators with two auxiliary variables for estimating finite population mean were examined using simulation. These estimators were obtained by incorporating some known functions of auxiliary variables X and Z in some existing factor-type estimators. Bias and Mean square error (MSE) of these estimators, ӯ_FTAA^ß1(d) and ӯ_FTAA^ß2(d) were obtained using tailor’s series expansion. Audu & Adewara (2017) revealed that although ӯ_FTAA^ß1(d) and ӯ_FTAA^ß2(d), have minimum MSE and high PRE than all other related existing factor-type estimators considered using three life dataset but of these two, which is more efficient and most preferred. The simulation results obtained in this study revealed that ӯ_FTAA^ß2(d) is more efficient than ӯ_FTAA^ß1(d) and hence, most preferred
关键词：Factor-type estimator; Two-phase sampling; Mean square error (MSE); Efficiency.Permutation; Pattern; Popularity; Equipopularity; Sorting.