RT Journal Article
T1 Goodness of fit tests with weights in the classes based on (h,phi)-divergences
A1 Landaburu Jiménez, María Elena
A1 Pardo Llorente, Leandro
AB The aim of the paper is to present a test of goodness of fit with weigths in the classes based on weighted (h, phi)-divergences. This family of divergences generalizes in some sense the previous weighted divergences studied by Frank et al [5] and Kapur [11]. The weighted (h, phi)-divergence between an empirical distribution and a fixed distribution is here investigated for large simple random samples, and the asymptotic distributions are shown to be either normal or equal to the distribution of a linear combination of independent chi-square variables. Some approximations to the linear combination of independent chi-square variables are presented
PB Institute of Information Theory and Automation of the ASCR
SN 0023-5954
YR 2000
FD 2000
LK https://hdl.handle.net/20.500.14352/57552
UL https://hdl.handle.net/20.500.14352/57552
LA eng
NO DGES
DS Docta Complutense
RD 17 abr 2025