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Original Articles

Estimation of Linear Regression Models with Missing Observations on Both the Explanatory and Study Variables

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Pages 179-189 | Received 01 May 2003, Accepted 01 Sep 2005, Published online: 09 Feb 2016

References

  • Afifi, A. A. and Elashoff, R. M. (1967). Missing observations in multivariate statistics: Part II: Point estimation in simple linear regression. Journal of the American Statistical Association, 62, 10–29.
  • Dagenais, M. G. (1973). The use of imcomplete observations in multiple regression analysis: A generalized least squares approach. Journal of Econometrics, 1, 317–328.
  • Gourieroux, G. and Monfort, A. (1981). On the problem of missing data in linear models. Review of Economic Studies, 48, 579–586.
  • Little, R. J. A. (1992). Regression with missing A’s : A review, Journal of the American Statistical Association, 87(420), 1227–1237.
  • Little, R. J. A. and Rubin, D. B. (2002). Statistical Analysis with Missing Data, 2nd edition. Wiley, New York.
  • Rao, C. R. and Toutenburg, H. (1999). Linear Models Least Squares and Alternatives, 2nd edition, Springer-Verlag, New York.

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