About: Robust and Non-Robust Models in Statistics

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An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	The authors begin by reviewing the central pre-limit theorem, providing a careful definition and characterization of the limiting distributions. The authors develop a correct version of the theory of statistical estimation, and show its connection with the problem of the choice of an appropriate loss function. A loss function should not be chosen arbitrarily. As they explain, the availability of certain mathematical conveniences (including the correctness of the formulation of the problem estimation) leads to rigid restrictions on the choice of the loss function. The questions about the correctness of incorrectness of certain statistical problems may be resolved through appropriate choice of the loss function and/or metric on the space of random variables and their characteristics (including distribution functions, characteristic functions, and densities). Some auxiliary results from the theory of generalized functions are provided in an appendix. The authors begin by reviewing the central pre-limit theorem, providing a careful definition and characterization of the limiting distributions. The authors develop a correct version of the theory of statistical estimation, and show its connection with the problem of the choice of an appropriate loss function. A loss function should not be chosen arbitrarily. As they explain, the availability of certain mathematical conveniences (including the correctness of the formulation of the problem estimation) leads to rigid restrictions on the choice of the loss function. The questions about the correctness of incorrectness of certain statistical problems may be resolved through appropriate choice of the loss function and/or metric on the space of random variables and their characteristics (including distribution functions, characteristic functions, and densities). Some auxiliary results from the theory of generalized functions are provided in an appendix. (en)
Title	Robust and Non-Robust Models in Statistics Robust and Non-Robust Models in Statistics (en)
skos:prefLabel	Robust and Non-Robust Models in Statistics Robust and Non-Robust Models in Statistics (en)
skos:notation	RIV/00216208:11320/09:00207394!RIV10-MSM-11320___
http://linked.open...avai/riv/aktivita	Z
http://linked.open...avai/riv/aktivity	Z(MSM0021620839)
http://linked.open...vai/riv/dodaniDat	2010
http://linked.open...aciTvurceVysledku	Klebanov, Lev
http://linked.open.../riv/druhVysledku	B - Odborná kniha
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Univerzita Karlova v Praze / Matematicko-fyzikální fakulta
http://linked.open...dnocenehoVysledku	339566
http://linked.open...ai/riv/idVysledku	RIV/00216208:11320/09:00207394
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	Robust; Non-Robust; Models; Statistics (en)
http://linked.open.../riv/klicoveSlovo	Statistics Models Robust Non-Robust
http://linked.open...ontrolniKodProRIV	[D53056B460DC]
http://linked.open...i/riv/mistoVydani	New York
http://linked.open...vEdiceCisloSvazku	1
http://linked.open...i/riv/nazevZdroje	Robust and Non-Robust Models in Statistics
http://linked.open...in/vavai/riv/obor	BA
http://linked.open...ichTvurcuVysledku	1 (xsd:int)
http://linked.open...v/pocetStranKnihy	250 (xsd:int)
http://linked.open...cetTvurcuVysledku	3 (xsd:int)
http://linked.open...UplatneniVysledku	2009
http://linked.open...iv/tvurceVysledku	Klebanov, Lev Rachev, Svetlozar Fabozzi, Frank
http://linked.open...n/vavai/riv/zamer	Metody moderní matematiky a jejich aplikace
number of pages	250 (xsd:int)
http://purl.org/ne...btex#hasPublisher	Nova Science Publishers
https://schema.org/isbn	978-1-60741-768-2
http://localhost/t...ganizacniJednotka	11320

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