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Discriminant analysis based on multivariate response curves: A descriptive approach to dynamic allocation
Author(s) -
Albert Adelin
Publication year - 1983
Publication title -
statistics in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.996
H-Index - 183
eISSN - 1097-0258
pISSN - 0277-6715
DOI - 10.1002/sim.4780020111
Subject(s) - multivariate statistics , linear discriminant analysis , multivariate analysis , statistics , computer science , artificial intelligence , econometrics , mathematics
We examine the problem of discriminating between two groups in the context of multivariate response curves observed over a specified time interval. We propose a descriptive solution for the case where one can determine the response curves by linear interpolation between successive observations. Unlike most previously reported methods that use only the current multivariate observation, our approach accounts for the history of the process. Moreover the method has the potential advantage of being applicable dynamically, as one observes the multivariate response curve. Finally, the method demonstrates simplicity and flexibility, two important features for successful, routine, clinical application.

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