• Login
    View Item 
    •   NWU-IR Home
    • Research Output
    • Faculty of Natural and Agricultural Sciences
    • View Item
    •   NWU-IR Home
    • Research Output
    • Faculty of Natural and Agricultural Sciences
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Die skoenlusmetode: 'n kritiese oorsig

    Thumbnail
    View/Open
    Die_skoenlusmetode.pdf (384.9Kb)
    Date
    2008
    Author
    Swanepoel, Jan
    Metadata
    Show full item record
    Abstract
    Sedert die ontstaan van die skoenlusmetodologie, het dit beide 'n kragtige versameling oplossings gebied vir die praktiese gebruiker van statistiek , sowel as 'n ryk bron van teoretiese en metodologiese oplossings vir probleme in statistiek. In hierdie artikel word 'n oorsig gegee van onlangse ontwikkelings in die nie-parametriese skoenlusmetodologie, waar gekonsentreer word op basiese idees en toepassings instede van teoretiese oorweginge. Onderwerpe van belang sluit in statistiese fout, vertrouensintervalle, die dubbel-skoenlus, skoenluskalibrering, skoenlus parsiele aanneemlikheid, toepassing van die skoenlusmetode op gekompliseerde datastelle, die wilde skoenlus en die aangepaste skoenlusmetode. Die genoemde onderwerpe word bespreek onder onafhanklikheidsaannames van die data, 'n Onlangse belangrike ontwikkeling in die skoenlusmetodologie behels die toepassing van die skoenlus op afhanklike data. Onderwerpe wat onder hierdie aanname bespreek word, sluit die bewegende blokskoenlusmetode in sowel as die outoregressiewe sif-skoenlus
     
    Ever since its introduction, the bootstrap has provided both a powerful set of solutions for practical statisticians, and a rich source of theoretical and methodological solutions for problems in statistics. In this paper, a survey of some recent developments in the non-parametric bootstrap methodology is given, concentrating on basic ideas and applications rather than theoretical considerations. Topics include statistical error, confidence intervals, double bootstrapping, bootstrap calibration, bootstrap partial likelihood, bootstrapping complicated data sets, wild bootstrap and the modified bootstrap. The above topics will be discussed under the assumption of independent data. A major development of bootstrap methods recently has been their application to dependent data. Topics that will be discussed under this heading include the moving block bootstrap and the autoregressive sieve bootstrap
     
    URI
    http://hdl.handle.net/10394/2811
    http://search.sabinet.co.za/WebZ/images/ejour/aknat/aknat_supp1_2008_a3.pdf?sessionid=01-61574-1252365812&format=F
    https://journals.co.za/content/aknat/09/sup-1/EJC20283
    Collections
    • Faculty of Natural and Agricultural Sciences [4788]

    Copyright © North-West University
    Contact Us | Send Feedback
    Theme by 
    Atmire NV
     

     

    Browse

    All of NWU-IR Communities & CollectionsBy Issue DateAuthorsTitlesSubjectsAdvisor/SupervisorThesis TypeThis CollectionBy Issue DateAuthorsTitlesSubjectsAdvisor/SupervisorThesis Type

    My Account

    LoginRegister

    Copyright © North-West University
    Contact Us | Send Feedback
    Theme by 
    Atmire NV