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  • 标题:Predictive Estimation of Finite Population Mean Using Exponential Estimators
  • 本地全文:下载
  • 作者:Housila P. Singh ; Ramkrishna S. Solanki ; Alok K. Singh
  • 期刊名称:Statistika : Statistics and Economy Journal
  • 印刷版ISSN:0322-788X
  • 电子版ISSN:1804-8765
  • 出版年度:2014
  • 卷号:1
  • 出版社:Czech Statistical Office
  • 摘要:This paper suggested the ratio-type and product-type exponential estimators of the population mean of a study variable through predictive approach using Bahl and Tuteja (1991) ratio-type and product-type exponential estimators as a predictor of the mean of the unobserved units of the population. Properties of the suggested estimators are studied up to first order of approximation in simple random sampling using information on an auxiliary variable. The theoretical conditions under which the suggested estimators are less besed and more efficient than the usual unbiased, ratio, product estimators and estimators due to Srivastava (1983) and Bahl and Tuteja (1991) have been obtained. In support of the theoretical study numerical illustration is also given and determined that the suggested estimators showed also an improvement over the classical estimators empirically
  • 关键词:Predictive approach; auxiliary information; population mean; exponential estimators; bias; mean squared error
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