Ratio-Cum-Product Estimator Using Multiple Auxiliary Attributes in Single Phase Sampling  

作　　者：John Kung’u Leo Odongo 

机构地区：[1]Department of Mathematics, Kenyatta University, Nairobi, Kenya

出　　处：《Open Journal of Statistics》2014年第4期239-245,共7页统计学期刊（英文）

摘　　要：In this paper, we have proposed a class of ratio-cum-product estimator for estimating population mean of study variable for single phase sampling using multi-auxiliary attributes. The expressions for mean square error are derived. An empirical study is given to compare the performance of the estimator with existing estimators. It has been found that the ratio-cum-product estimator using multiple auxiliary attributes is more efficient than mean per unit, product and ratio estimators using one auxiliary attribute, and Product and Ratio estimators using multiple auxiliary attributes in single phase sampling.In this paper, we have proposed a class of ratio-cum-product estimator for estimating population mean of study variable for single phase sampling using multi-auxiliary attributes. The expressions for mean square error are derived. An empirical study is given to compare the performance of the estimator with existing estimators. It has been found that the ratio-cum-product estimator using multiple auxiliary attributes is more efficient than mean per unit, product and ratio estimators using one auxiliary attribute, and Product and Ratio estimators using multiple auxiliary attributes in single phase sampling.

关 键 词：Ratio-Cum-Product ESTIMATOR MULTIPLE AUXILIARY Attributes Single Phase Sampling Bi-Serial Correlation Coefficient 

分 类 号：R73[医药卫生—肿瘤]