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On the first order regression procedure of estimation for incomplete regression models

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Abstract

This article discusses some properties of the first order regression method for imputation of missing values on an explanatory variable in linear regression model and presents an estimation strategy based on hypothesis testing.

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References

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Authors and Affiliations

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

    V. K. Srivastava

  2. Institute of Statistics, University of Munich, Germany

    H. Toutenburg

Authors
  1. V. K. Srivastava
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  2. H. Toutenburg
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Additional information

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

The author is grateful to the referees for their illuminating comments on an earlier draft of this paper.

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Srivastava, V.K., Toutenburg, H. On the first order regression procedure of estimation for incomplete regression models. Statistical Papers 46, 303–307 (2005). https://doi.org/10.1007/BF02762974

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  • DOI: https://doi.org/10.1007/BF02762974

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