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文章基本信息

  • 标题:A Two-Parameter Ratio-Product-Ratio Type Exponential Estimator for Finite Population Mean in Sample Surveys
  • 作者:Housila P Singh ; Anita Yadav
  • 期刊名称:Pakistan Journal of Statistics and Operation Research
  • 印刷版ISSN:2220-5810
  • 出版年度:2018
  • 卷号:14
  • 期号:2
  • 页码:215-232
  • DOI:10.18187/pjsor.v14i2.1905
  • 语种:English
  • 出版社:College of Statistical and Actuarial Sciences
  • 摘要:This paper suggests a two-parameter ratio-product-ratio type exponential estimator for a finite population mean in simple random sampling without replacement (SRSWOR) following the methodology in the studies of Singh and Espejo (2003) and Chami et al (2012). The bias and mean squared error of the suggested estimator are obtained to the first degree of approximation. The conditions are obtained in which suggested estimator is more efficient than the sample mean, classical ratio and product estimators, ratio-type and product type exponential estimators. An empirical study is given in support of the present study.
  • 其他关键词:Finite populations mean; Study Variable; Auxiliary Variable; Bias; Mean Squared Error.
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