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Confidence intervals based on bootstrap method.

The result's identifiers

  • Result code in 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>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Confidence intervals based on bootstrap method.

  • Original language description

    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.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    BB - Applied statistics, operational research

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2002

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    7th International Scientific Conference

  • ISBN

    80-7099-808-3

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    35-41

  • Publisher name

    Technical University of Kosice

  • Place of publication

    Košice

  • Event location

    Košice

  • Event date

    May 22, 2002

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article