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dc.creatorAlves, Henrique José de Paula-
dc.creatorFerreira, Daniel Furtado-
dc.identifier.citationALVES, H. J. de P.; FERREIRA, D. F. Proposition of new alternative tests adapted to the traditional T2 test. Communications in Statistics - Simulation and Computation, London, Nov. 2019. Paginação irregular.pt_BR
dc.description.abstractNew alternative tests of the T2 Hotelling’s test for testing hypotheses on the mean vector of a normal p-variate population were proposed. These tests were based on comedian robust estimator of the covariance matrix using an asymptotic T2 distribution and a parametric bootstrap distribution to the null distribution of the statistical tests. The performance of these new tests was evaluated under normal and non-normal distributions through Monte Carlo simulations. The contaminated normal populations were also considered to evaluate the effects of outliers in performance of the tests. The type I error rats and power were computed in all Monte Carlo simulations by using the R software. The parametric bootstrap test based on the T2 test statistic had equivalent performance of the T2 original test. This test was recommended because it is easy to implement and computationally fast.pt_BR
dc.publisherTaylor & Francis Grouppt_BR
dc.sourceCommunications in Statistics - Simulation and Computationpt_BR
dc.subjectPower type I errorpt_BR
dc.subjectParametric bootstrappt_BR
dc.subjectErro do tipo Ipt_BR
dc.subjectDistribuição de bootstrap paramétricapt_BR
dc.subjectTestes estatísticospt_BR
dc.titleProposition of new alternative tests adapted to the traditional T2 testpt_BR
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