Ratio-Cum-Product Estimator Using Multiple Auxiliary Attributes in Single Phase Sampling
Ratio-Cum-Product Estimator Using Multiple Auxiliary Attributes in Single Phase Sampling作者机构：Department of Mathematics Kenyatta University Nairobi Kenya
出 版 物：《Open Journal of Statistics》 (统计学期刊（英文）)
年 卷 期：2014年第4卷第4期
页 面：239-245页
学科分类：1002[医学-临床医学] 100214[医学-肿瘤学] 10[医学]
主 题：Ratio-Cum-Product Estimator Multiple Auxiliary Attributes Single Phase Sampling Bi-Serial Correlation Coefficient
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.
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