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dc.contributor.authorAllison, J.S.en_US
dc.contributor.authorSwanepoel, J.W.H.en_US
dc.date.accessioned2012-02-29T09:51:56Z
dc.date.available2012-02-29T09:51:56Z
dc.date.issued2010en_US
dc.identifier.citationAllison, J.S. & Swanepoel, J.W.H. 2010. Three methods to apply the bootstrap correctly to hypothesis testing. South African statistical journal = Suid-Afrikaanse statistiese tydskrif, 44(2):123-143 [http://hdl.handle.net/10520/EJC99125]en_US
dc.identifier.issn0038-271Xen_US
dc.identifier.urihttp://hdl.handle.net/10394/6100
dc.identifier.urihttp://hdl.handle.net/10520/EJC99125
dc.identifier.urihttps://journals.co.za/content/sasj/44/2/EJC99125
dc.description.abstractIn this paper we discuss three methods to apply the bootstrap correctly to hypothesis testing. For each of these methods a simple example is considered, namely testing the variance of a population. The shortcoming associated with implementing bootstrap testing procedures incorrectly is analysed by making use of this example. Some theoretical properties of the corresponding bootstrap critical values are derived. The results of a simulation study are presented to provide empirical comparison between the different methods and to substantiate the theoretical findings
dc.publisherSASAen_US
dc.subjectBootstrap critical value
dc.subjectHypothesis testing
dc.subjectResampling residuals
dc.subjectTilted bootstrap
dc.titleThree methods to apply the bootstrap correctly to hypothesis testingen_US
dc.contributor.researchID11985682 - Allison, James Samuel
dc.contributor.researchID10177507 - Swanepoel, Jan Willem Hendrik


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