Confidence intervals based on bootstrap method.

Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25410%2F02%3A45100005" target="_blank" >RIV/00216275:25410/02:45100005 - isvavai.cz</a>
Výsledek na webu
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Jazyk výsledku
angličtina
Název v původním jazyce
Confidence intervals based on bootstrap method.
Popis výsledku v původním jazyce
Classical methods of statistical analysis are based on specific presupposition (e.g. normality of population distribution, independence and so on). It shows, that a lot of the most often applied statistical methods are very sensitive even to little deviations from presumptions, especially from presumption of normality. Except of classical methods, a number of alternative methods were developed in last decades. These methods don't require the fulfilment of strict assumptions like classical method. The example of it is the bootstrap method that is based on data resampling.
Název v anglickém jazyce
Confidence intervals based on bootstrap method.
Popis výsledku anglicky
Classical methods of statistical analysis are based on specific presupposition (e.g. normality of population distribution, independence and so on). It shows, that a lot of the most often applied statistical methods are very sensitive even to little deviations from presumptions, especially from presumption of normality. Except of classical methods, a number of alternative methods were developed in last decades. These methods don't require the fulfilment of strict assumptions like classical method. The example of it is the bootstrap method that is based on data resampling.

Rok uplatnění
2002
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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