A New Regression Type Estimator with Two Auxiliary Variables for Single-Phase Sampling  

作　　者：Everline Chemutai Tum John Kung’u Leo Odongo 

机构地区：[1]Department of Statistics and Actuarial Science, Kenyatta University, Nairobi, Kenya

出　　处：《Open Journal of Statistics》2014年第9期789-796,共8页统计学期刊（英文）

摘　　要：In this paper, we have proposed an estimator of finite population mean using a new regression type estimator with two auxiliary variables for single-phase sampling and investigated its finite sample properties. An empirical study has been carried out to compare the performance of the proposed estimator with the existing estimators that utilize auxiliary variables for finite population mean. It has been found that the new regression type estimator with two auxiliary variables for to be more efficient than mean per unit, ratio and product estimator and exponential ratio and exponential product estimators and exponential ratio-product estimator.In this paper, we have proposed an estimator of finite population mean using a new regression type estimator with two auxiliary variables for single-phase sampling and investigated its finite sample properties. An empirical study has been carried out to compare the performance of the proposed estimator with the existing estimators that utilize auxiliary variables for finite population mean. It has been found that the new regression type estimator with two auxiliary variables for to be more efficient than mean per unit, ratio and product estimator and exponential ratio and exponential product estimators and exponential ratio-product estimator.

关 键 词：Regression ESTIMATOR EXPONENTIAL Ratio-Product ESTIMATOR AUXILIARY VARIABLES Mean Squared ERROR 

分 类 号：O1[理学—数学]