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Amputation versus imputation of missing values through ratio method in sample surveys

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Abstract

In this article, we consider the estimation of a population mean when some observations on the study characteristic are missing in the bivariate sample data. In all, five estimators are presented and their efficiency properties are discussed. One estimator arises from the the amputation of incomplete observations while the remaining four estimators are formulated using imputed values obtained by the ratio method of estimation.

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Authors and Affiliations

  1. Institut für Statistik, Universität München, Akademiestr. 1, 80799, München, Germany

    H. Toutenburg

  2. Department of Statistics, University of Lucknow, Lucknow, 226007, India

    V. K. Srivastava

  3. Department of Mathematics and Statistics, Indian Institute of Technology, Kanpur, 208016, India

    Shalabh

Authors
  1. H. Toutenburg
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  2. V. K. Srivastava
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  3. Shalabh
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Corresponding author

Correspondence to H. Toutenburg.

Additional information

This work was carried out before Professor V.K. Srivastava passed away in 2001.

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Toutenburg, H., Srivastava, V.K. & Shalabh Amputation versus imputation of missing values through ratio method in sample surveys. Statistical Papers 49, 237–247 (2008). https://doi.org/10.1007/s00362-006-0009-4

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  • DOI: https://doi.org/10.1007/s00362-006-0009-4

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