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Covariance Adjustments in Discrimination of Mixed Discrete and Continuous Variables

โœ Scribed by Chi-Ying Leung


Publisher
Elsevier Science
Year
1999
Tongue
English
Weight
126 KB
Volume
71
Category
Article
ISSN
0047-259X

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โœฆ Synopsis


Sufficient conditions are given to ensure a better performance of the plug-in version of the covariates adjusted location linear discriminant function in an asymptotic comparison of the overall expected error rate. Our findings generalize several earlier results on discriminant function with covariance.


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A new method for the choice of variables with the greatest discriminatory power in the location model for mixed variable discriminant analpis is presented in the paper. The procedure based on ' the multivariate discriminatory measure enables a simultaneous reduction of the number of discrete and con