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On Burbea–Rao Divergence Based Goodness-of-Fit Tests for Multinomial Models

✍ Scribed by M.C. Pardo

Publisher
Elsevier Science
Year
1999
Tongue
English
Weight
170 KB
Volume
69
Category
Article
ISSN
0047-259X

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✦ Synopsis

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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