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  • 标题:Ratio-Cum-Product Estimator Using Multiple Auxiliary Attributes in Single Phase Sampling
  • 本地全文:下载
  • 作者:John Kung’u ; Leo Odongo
  • 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:239-245
  • DOI:10.4236/ojs.2014.44023
  • 语种:English
  • 出版社:Scientific Research Publishing
  • 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.
  • 关键词:Ratio-Cum-Product Estimator; Multiple Auxiliary Attributes; Single Phase Sampling; Bi-Serial Correlation Coefficient
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