Landaburu Jiménez, María Elena and Pardo Llorente, Leandro (2006) Weighted (h,theta)-divergences in goodness-of-fit with composite null hypotheses. Kybernetes , 35 (5-6 ). 713-725 . ISSN 0368-492X
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.
|Uncontrolled Keywords:||Cybernetics; Modelling|
|Subjects:||Sciences > Mathematics > Stochastic processes|
|Deposited On:||25 Sep 2012 08:42|
|Last Modified:||25 Sep 2012 08:42|
Repository Staff Only: item control page