RT Journal Article
T1 Weighted (h,theta)-divergences in goodness-of-fit with composite null hypotheses
A1 Landaburu Jiménez, María Elena
A1 Pardo Llorente, Leandro
AB Purpose - Proposes a test of goodness-of-fit with composite null hypotheses and weights in the classes based on weighted (h, p)-divergences. Design/methodology/approach - The weighted (h, p)-divergence between an empirical distribution and the probability of the estimated model is here investigated for large simple random samples.Findings - The unknown parameters of the model are estimated using minimum (h, p)-divergences estimators with weights as studied in previous works by the authors.Originality/value - Research makes an important contribution to (h, P)-divergences and their applications in statistical and other areas.
PB Emerald
SN 0368-492X
YR 2006
FD 2006
LK https://hdl.handle.net/20.500.14352/50117
UL https://hdl.handle.net/20.500.14352/50117
DS Docta Complutense
RD 8 may 2024