2026-08-20T02:11:19Zhttps://docta.ucm.es/rest/oai/request

oai:docta.ucm.es:20.500.14352/501172023-08-27T08:19:54Zcom_20.500.14352_14col_20.500.14352_15

Weighted (h,theta)-divergences in goodness-of-fit with composite null hypotheses Landaburu Jiménez, María Elena Pardo Llorente, Leandro 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. 2023-06-20T09:39:11Z 2023-06-20T09:39:11Z 2023-06-20T09:39:11Z 2006 journal article https://hdl.handle.net/20.500.14352/50117 0368-492X 10.1108/03684920610662467 metadata only access Emerald