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Weighted (h,theta)-divergences in goodness-of-fit with composite null hypotheses

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

Official URL: http://www.ingentaconnect.com/content/mcb/067/2006/00000035/00000005/art00009

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Abstract

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.


Item Type:Article
Uncontrolled Keywords:Cybernetics; Modelling
Subjects:Sciences > Mathematics > Stochastic processes
ID Code:16513
Deposited On:25 Sep 2012 08:42
Last Modified:25 Sep 2012 08:42

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