%0 Journal Article
%A Landaburu Jiménez, María Elena
%A Pardo Llorente, Leandro
%T Weighted (h,theta)-divergences in goodness-of-fit with composite null hypotheses
%D 2006
%@ 0368-492X
%U https://hdl.handle.net/20.500.14352/50117
%X 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.
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