About: Přesnost odhadu v autoregresních modelech

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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 time series analysis is very common problem of the economical practice. AR(p) models can be quite suitable tool in certain cases. The goal is to estimate the parameters of these models. The estimates can be provided by the classical methods of the mathematical statistics, but one important question emerges, respectively how exact is such estimate. The resampling methods can offer any solution when the first or second order autoregressive model is applied. Both of the mentioned methods are based in fitting of the model and subsequently in simulation of its residuals by the bootstrap process. The time series analysis is very common problem of the economical practice. AR(p) models can be quite suitable tool in certain cases. The goal is to estimate the parameters of these models. The estimates can be provided by the classical methods of the mathematical statistics, but one important question emerges, respectively how exact is such estimate. The resampling methods can offer any solution when the first or second order autoregressive model is applied. Both of the mentioned methods are based in fitting of the model and subsequently in simulation of its residuals by the bootstrap process. (en) The time series analysis is very common problem of the economical practice. AR(p) models can be quite suitable tool in certain cases. The goal is to estimate the parameters of these models. The estimates can be provided by the classical methods of the mathematical statistics, but one important question emerges, respectively how exact is such estimate. The resampling methods can offer any solution when the first or second order autoregressive model is applied. Both of the mentioned methods are based in fitting of the model and subsequently in simulation of its residuals by the bootstrap process. (cs)
Title	Přesnost odhadu v autoregresních modelech Accuracy of estimates in autoregressive models (en) Přesnost odhadu v autoregresních modelech (cs)
skos:prefLabel	Přesnost odhadu v autoregresních modelech Accuracy of estimates in autoregressive models (en) Přesnost odhadu v autoregresních modelech (cs)
skos:notation	RIV/00216275:25410/07:00005482!RIV08-MSM-25410___
http://linked.open.../vavai/riv/strany	81-88
http://linked.open...avai/riv/aktivita	S
http://linked.open...avai/riv/aktivity	S
http://linked.open...iv/cisloPeriodika	4
http://linked.open...vai/riv/dodaniDat	2008
http://linked.open...aciTvurceVysledku	Kubanová, Jana Linda, Bohdan
http://linked.open.../riv/druhVysledku	J - Článek v odborném periodiku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Univerzita Pardubice / Fakulta ekonomicko-správní
http://linked.open...dnocenehoVysledku	443926
http://linked.open...ai/riv/idVysledku	RIV/00216275:25410/07:00005482
http://linked.open...riv/jazykVysledku	cze - čeština
http://linked.open.../riv/klicovaSlova	autoregressive models; bootstrap method; parameters estimate (en)
http://linked.open.../riv/klicoveSlovo	autoregressive models parameters estimate bootstrap method
http://linked.open...odStatuVydavatele	SK - Slovenská republika
http://linked.open...ontrolniKodProRIV	[BB24369F34B4]
http://linked.open...i/riv/nazevZdroje	Forum Statisticum Slovacum
http://linked.open...in/vavai/riv/obor	BB
http://linked.open...ichTvurcuVysledku	2 (xsd:int)
http://linked.open...cetTvurcuVysledku	2 (xsd:int)
http://linked.open...UplatneniVysledku	2007
http://linked.open...v/svazekPeriodika	3
http://linked.open...iv/tvurceVysledku	Kubanová, Jana Linda, Bohdan
issn	1336-7420
number of pages	8 (xsd:int)
http://localhost/t...ganizacniJednotka	25410
is http://linked.open...avai/riv/vysledek of	Přesnost odhadu v autoregresních modelech Přesnost odhadu v autoregresních modelech Přesnost odhadu v autoregresních modelech

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