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estimateur asymptotiquement sans biais
analyse économique - iate.europa.eu
En l’absence de non-réponse, un estimateur asymptotiquement sans biais de est fourni par .

In the absence of nonresponse, an asymptotically unbiased estimator of is given by .

général - CCMatrix (Wikipedia + CommonCrawl)
Bayesian prediction and model selection for locally asymptotically mixed normal models... The proposed criterion for LAMN models is an asymptotically unbiased estimator of the Kullback-Leibler loss of Bayesian prediction....
général - core.ac.uk - PDF: citeseerx.ist.psu.edu
Performance of statistical inference methods for the energy estimation of multiple sources... These are compared for small system sizes against an asymptotically unbiased estimator obtained from large dimensional random matrix theory....
A discrepancy based model selection criterion... al (1998) and is shown to be an asymptotically unbiased estimator of the expected overall discrepancy between the true and the fitted models....
 PDF: 194.42.1.1
An adjusted network information criterion for model selection in statistical neural network models...this paper, we derived and investigated the Adjusted Network Information Criterion (ANIC) criterion, based on Kullback’s symmetric divergence, which has been designed to be an asymptotically unbiased estimator of the expected Kullback-Leibler information of a fitted model....
On measures of divergence and the divergence information selection criterionAbstract: The aim of this work is to develop a new model selection criterion using a general discrepancy based technique, by constructing an asymptotically unbiased estimator of the overall average discrepancy between the true and the fitted models....
 PDF: 194.42.1.1

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