| Título: | Weighted (h,theta)-divergences in goodness-of-fit with composite null hypotheses |
| Autores: | Landaburu Jiménez, María Elena ; Pardo Llorente, Leandro |
| Tipo de documento: | texto impreso |
| Editorial: | Emerald, 2006 |
| Palabras clave: | Estado = Publicado , Materia = Ciencias: Matemáticas: Procesos estocásticos , Tipo = Artículo |
| Resumen: |
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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