Divergence Empirique et Vraisemblance Empirique Généralisée
AbstractIn this paper, we generalize the results obtained with the Kullbackdistance (corresponding to empirical likelihood) and Cressie-Read metrics(generalized empirical likelihood) to general discrepancies, for someconvex functions satisfying a few regularity properties. In particular, weintroduce a new Bartlett correctable family of empirical discrepancies, theQuasi-Kullback, out of Cressie-Read family, which possess interesting nitesample properties. We conclude this work with some simulations in the multidimensionalcase for different discrepancies.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoPaper provided by Centre de Recherche en Economie et Statistique in its series Working Papers with number 2004-29.
Date of creation: 2004
Date of revision:
You can help add them by filling out this form.
reading list or among the top items on IDEAS.Access and download statisticsgeneral information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Florian Sallaberry).
If references are entirely missing, you can add them using this form.