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  • 标题:IMPUTATION USING REGRESSION ESTIMATORS FOR ESTIMATING POPULATION MEAN IN TWO-PHASE SAMPLING
  • 本地全文:下载
  • 作者:Narendra Singh Thakur ; Kalpana Yadav ; Sharad Pathak
  • 期刊名称:Journal of Reliability and Statistical Studies
  • 印刷版ISSN:0974-8024
  • 电子版ISSN:2229-5666
  • 出版年度:2012
  • 卷号:5
  • 期号:2
  • 页码:21-31
  • 出版社:Ankur Printing Palace
  • 摘要:This paper presents the estimation of mean in presence of missing data under two-phase sampling design using regression estimators as a tool for imputation while the size ofresponding ()1R and non-responding ()2R group is considered as a random variable. The bias and mean squared error of suggested estimators are derived in the form of population parameters using the concept of large sample approximation. Numerical study is performed over two populations by using the expressions of bias and mean squared error and efficiency compared with existing estimators
  • 关键词:Estimation; Missing data; Regression estimators; Bias; Mean squared error ;(MSE); Two-phase sampling; SRSWOR; Large sample approximations
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