Publication: On Burbea-Rao divergence based goodness-of-fit tests for multinomial models
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1999-04
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Academic Press
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Abstract
This paper investigates a new family of statistics based on Burbea-Rao divergence for testing goodness-of-fit. Under the simple and composite null hypotheses the asymptotic distribution of these tests is shown to be chi-squared. For composite hypothesis, the unspecified parameters are estimated by maximum likelihood as well as minimum Burbea-Rao divergence.
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This work was supported by Grant DGES PB96-0635 and PR156/97-7159.
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