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Alternative Approaches to Missing Values in Discriminant Analysis

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Pages 842-844 | Received 01 Jun 1975, Published online: 05 Apr 2012

References

  • Anderson , T. W. 1957 . “Maximum Likelihood Estimates for a Multivariate Normal Distribution When Some Observations Are Missing” . Journal of the American Statistical Association , 52 June : 200 – 3 .
  • Buck , S. F. 1960 . “A Method of Estimation of Missing Values of Multivariate Data Suitable for Use With an Electronic Computer” . Journal of the Royal Statistical Society, Series B , 22 : 302 – 7 .
  • Chan , L. S. and Dunn , O. J. 1972 . “The Treatment of Missing Values in Discriminant Analysis—1. The Sampling Experiment” . Journal of the American Statistical Association , 67 June : 473 – 7 .
  • Chan , L. S. and Dunn , O. J. 1974 . “A Note on the Asymptotic Aspect of the Treatment of Missing Values in Discriminant Analysis” . Journal of the American Statistical Association , 69 September : 672 – 3 .
  • Dear , R. E. 1959 . “A Principal Component Missing Data Method for Multiple Regression Models” , Santa Monica , Calif. : Systems Development Corporation . Technical Report sp-86
  • Fisher , R. A. 1936 . “The Use of Multiple Measurements in Taxonomic Problems” . Annals of Eugenics , 7 ( II ) September : 179

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