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                                       Details for article 22 of 24 found articles
 
 
  The studentized location linear discriminant function
 
 
Title: The studentized location linear discriminant function
Author: Leung, C.Y.
Appeared in: Communications in statistics
Paging: Volume 18 (1989) nr. 11 pages 3977-3990
Year: 1989
Contents: The location linear discriminant function is used in a two-population classification problem when the available data are generated from both binary and continuous random variables. Asymptotic distribution of the studentized location linear discriminant function is derived directly without the inversion of the corresponding characteristic function. The resulting plug-in estimate of the overall error of misclassification consists of the estimate based on the limiting distribution of the discriminant plus a correction term up to the second order. By comparison, our estimate avoids exact knowledge of the Mahalanobis distances which is necessary when the expansions of Vlachonikolis (1985) are used in the case of an arbitrary cut-off point. An example is re-examined and analysed in the present context.
Publisher: Taylor & Francis
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 22 of 24 found articles
 
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