On Burbea-Rao Divergence Based Goodness-of-Fit Tests for Multinomial Models
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
Year of publication: |
1999
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Authors: | Pardo, M. C. |
Published in: |
Journal of Multivariate Analysis. - Elsevier, ISSN 0047-259X. - Vol. 69.1999, 1, p. 65-87
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Publisher: |
Elsevier |
Keywords: | goodness-of-fit minimumR[phi]-divergence estimate Pitman efficiency power function |
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