RT Journal Article
T1 On Burbea-Rao divergence based goodness-of-fit tests for multinomial models
A1 Pardo Llorente, María del Carmen
AB 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.
PB Academic Press
SN 0047-259X
YR 1999
FD 1999-04
LK https://hdl.handle.net/20.500.14352/57802
UL https://hdl.handle.net/20.500.14352/57802
LA eng
NO This work was supported by Grant DGES PB96-0635 and PR156/97-7159.
NO DGES
DS Docta Complutense
RD 9 abr 2025