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Pardo Llorente, María del Carmen (1999) On Burbea-Rao divergence based goodness-of-fit tests for multinomial models. Journal of Multivariate Analysis, 69 (1). pp. 65-87. ISSN 0047-259X
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Official URL: http://www.sciencedirect.com/science/article/pii/S0047259X98917997
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.
Item Type: | Article |
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Additional Information: | This work was supported by Grant DGES PB96-0635 and PR156/97-7159. |
Uncontrolled Keywords: | Goodness-of-fit; Minimum; R Phi-divergence estimate; Pitman efficiency; Power function. |
Subjects: | Sciences > Mathematics > Probabilities |
ID Code: | 17697 |
Deposited On: | 16 Jan 2013 10:22 |
Last Modified: | 26 Feb 2015 09:07 |
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