"RIV/68407700:21340/10:00176097!RIV11-MSM-21340___" . "1"^^ . "\u010Cesk\u00E1 technika - nakladatelstv\u00ED \u010CVUT" . "Performances of Modified Power Divergence Estimators in Normal Models" . . . "978-80-01-04644-9" . . "10"^^ . "1"^^ . . . . "2010-11-19+01:00"^^ . . . . "S" . . . "Fr\u00FDdlov\u00E1, Iva" . "Point estimators based on minimization of information-theoretic divergences between empirical and hypothetical distribution induce a problem when working with continuous families which are measure-theoretically orthogonal with the family of empirical distributions. In this case the phi-divergence is always equal to its upper bound and the minimum phi-divergence estimates are trivial. Broniatowski and Vajda in [2] proposed several modifications of the minimum divergence rule to provide a solution to the above mentioned problem. We examine these modifications in practical use." . "Performances of Modified Power Divergence Estimators in Normal Models"@en . "Performances of Modified Power Divergence Estimators in Normal Models"@en . "Performances of Modified Power Divergence Estimators in Normal Models" . "Praha" . "Praha" . "Doktorandsk\u00E9 dny 2010" . "278509" . . "21340" . . . "RIV/68407700:21340/10:00176097" . . "Point estimators based on minimization of information-theoretic divergences between empirical and hypothetical distribution induce a problem when working with continuous families which are measure-theoretically orthogonal with the family of empirical distributions. In this case the phi-divergence is always equal to its upper bound and the minimum phi-divergence estimates are trivial. Broniatowski and Vajda in [2] proposed several modifications of the minimum divergence rule to provide a solution to the above mentioned problem. We examine these modifications in practical use."@en . "[56108D214553]" . "Gaussian model; Minimum distance estimators; Computer simulations"@en .