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  • 标题:Some efficient sampling strategies based on ratio type estimator
  • 其他标题:Some efficient sampling strategies based on ratio type estimator
  • 作者:Bhushan, Shashi
  • 期刊名称:Electronic Journal of Applied Statistical Analysis
  • 电子版ISSN:2070-5948
  • 出版年度:2012
  • 卷号:5
  • 期号:1
  • 页码:74-88
  • DOI:10.1285/i20705948v5n1p74
  • 语种:English
  • 出版社:University of Salento
  • 摘要:In this paper, we have proposed to use two sampling strategies based on the modified ratio estimator using the coefficient of kurtosis of the auxiliary variable by Singh et al (2004) for estimating the population mean (total) of the study variable in a finite population. The main objective of this paper is to provide some ideas for unbiased estimation of population mean of the study variable by using prior information on auxiliary variable. A comparative study is made with usual sampling strategies utilizing the availability of the range prior information regarding the optimizing value of the characterizing scalar. Finally, some concluding remarks are given and an empirical study is included as an illustration.
  • 关键词:Ratio estimator; Coefficient of kurtosis; Unbiasedness; Mean square error; Prior information
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