Landaburu Jiménez, María ElenaPardo Llorente, Leandro2023-06-202023-06-2020060368-492X10.1108/03684920610662467https://hdl.handle.net/20.500.14352/50117Purpose - 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.journal articlehttp://www.ingentaconnect.com/content/mcb/067/2006/00000035/00000005/art00009http://www.ingentaconnect.com/metadata only access519.216CyberneticsModellingProcesos estocásticos1208.08 Procesos Estocásticos