Non-parametric tests for small samples of categorized variables: A study

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dc.contributor.authorContador, José Luiz
dc.contributor.authorSenne, Edson Luiz França [UNESP]
dc.contributor.institutionFaculdade Campo Limpo Paulista - FACCAMP
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2018-12-11T17:29:48Z
dc.date.available2018-12-11T17:29:48Z
dc.date.issued2016-07-01
dc.description.abstractThis paper presents a study on non-parametric tests to verify the similarity between two small samples of variables classified into multiple categories. The study shows that the only tests available for this situation are the chi-square and the exact tests. However, asymptotic tests, such as the chi-square, may not work well for small samples, leaving exact tests as the alternative. Nevertheless, if the number of classes increases, the implementation of these tests can become very difficult, in addition to requiring specific algorithms that may demand considerable computational effort. Therefore, as an alternative to the exact tests, a new test based on the difference between two uniform distributions is proposed. Computational assays are conducted to evaluate the performance of these three tests. Although non-parametric tests present numerous applications in various areas of knowledge, this study was motivated by the need to verify whether the business strategy adopted by a company is a determining factor for its competitiveness.en
dc.description.affiliationPrograma de Pos-graduacao em Administracao das Micro e Pequenas Empresas Faculdade Campo Limpo Paulista - FACCAMP, Rua Guatemala, 167
dc.description.affiliationFaculdade de Engenharia Universidade Estadual Paulista - UNESP Campus de Guaratinguetá, Av. Ariberto Pereira da Cunha, 333
dc.description.affiliationUnespFaculdade de Engenharia Universidade Estadual Paulista - UNESP Campus de Guaratinguetá, Av. Ariberto Pereira da Cunha, 333
dc.description.sponsorshipConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.description.sponsorshipIdCNPq: 303339/2013-6
dc.description.sponsorshipIdCNPq: DT 307363/2015-5
dc.format.extent588-599
dc.identifierhttp://dx.doi.org/10.1590/0104-530X357-15
dc.identifier.citationGestao e Producao, v. 23, n. 3, p. 588-599, 2016.
dc.identifier.doi10.1590/0104-530X357-15
dc.identifier.fileS0104-530X2016000300588.pdf
dc.identifier.issn1806-9649
dc.identifier.issn0104-530X
dc.identifier.lattes1338008237590056
dc.identifier.orcid0000-0002-6544-2964
dc.identifier.scieloS0104-530X2016000300588
dc.identifier.scopus2-s2.0-84990841896
dc.identifier.urihttp://hdl.handle.net/11449/178330
dc.language.isoeng
dc.relation.ispartofGestao e Producao
dc.rights.accessRightsAcesso aberto
dc.sourceScopus
dc.subjectCompetitive strategy
dc.subjectComputer simulation
dc.subjectNon-parametric tests
dc.subjectSmall samples
dc.titleNon-parametric tests for small samples of categorized variables: A studyen
dc.typeArtigo
unesp.author.lattes1338008237590056[2]
unesp.author.orcid0000-0002-6544-2964[1]

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