ADMISSIBILITY OF LIKELIHOOD RATIO RULES IN COVARIATE CLASSIFICATION USING DEPENDENT SAMPLES |
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| Authors: | Shibdas Bandyopadhyay |
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| Institution: | Indian Statistical Institute, Calcutta |
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| Abstract: | The two populations considered for this study are two distinct time points. Samples consist of observations made at both the time points on every sampling unit. The unit to be classified is observed at one of the two time points. The observation vectors contain covariates, having same expectation at both the time points. In this set-up admissibility of some likelihood ratio rules is established. |
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