SOME IMPUTATION METHODS IN DOUBLE SAMPLING SCHEME FOR ESTIMATION OF POPULATION MEAN

Journal Title: International Journal of Modern Engineering Research (IJMER) - Year 2012, Vol 2, Issue 1

Abstract

 To estimate the population mean with imputation, i.e. the technique of substituting missing data, there are a number of techniques available in literature like Ratio method of imputation, Compromised method of imputation, Mean method of imputation, Ahmed’s methods of imputation, F-T methods of imputation and so on. If population mean of auxiliary information is unknown then these methods are not useful and the two-phase sampling is used to obtain the population mean. This paper presents some imputation methods of for missing values in two-phase sampling. Two different sampling designs in two-phase sampling are compared under imputed data. The bias and m.s.e 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 using the expressions of bias and m.s.e and efficiency compared with Ahmed’s estimators.

Authors and Affiliations

Narendra Singh Thakur, Kalpana Yadav, Sharad Pathak

Keywords

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  • EP ID EP157892
  • DOI -
  • Views 129
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How To Cite

Narendra Singh Thakur, Kalpana Yadav, Sharad Pathak (2012).  SOME IMPUTATION METHODS IN DOUBLE SAMPLING SCHEME FOR ESTIMATION OF POPULATION MEAN. International Journal of Modern Engineering Research (IJMER), 2(1), 200-207. https://europub.co.uk/articles/-A-157892