Communications for Statistical Applications and Methods

The Korean Statistical Society (한국통계학회)
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Discriminant Analysis with Icomplete Pattern Vectors

  • Hie Choon Chung (Department of Industrial Information Engineering, Kwangju University, Kwangju, 502-703, Korea)
  • Published : 1997.04.01
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Abstract

We consider the problem of classifying a p x 1 observation into one of two multivariate normal populations when the training smaples contain a block of missing observation. A new classification procedure is proposed which is a linear combination of two discriminant functions, one based on the complete samples and the other on the incomplete samples. The new discriminant function is easy to use.

Keywords

References

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