dc.contributorSilva, Damião Nóbrega da
dc.contributor
dc.contributorhttp://lattes.cnpq.br/9570950627171584
dc.contributor
dc.contributorhttp://lattes.cnpq.br/3396583371890289
dc.contributorValença, Dione Maria
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dc.contributorhttp://lattes.cnpq.br/3396583371890289
dc.contributorFerrari, Sílvia Lopes de Paula
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dc.contributorhttp://lattes.cnpq.br/4552581220981608
dc.creatorSilva Júnior, Antonio Hermes Marques da
dc.date.accessioned2019-06-07T12:16:44Z
dc.date.accessioned2022-10-06T12:47:35Z
dc.date.available2019-06-07T12:16:44Z
dc.date.available2022-10-06T12:47:35Z
dc.date.created2019-06-07T12:16:44Z
dc.date.issued2009-05-28
dc.identifierSILVA JÚNIOR, Antonio Hermes Marques da Silva. Testes escore corrigidos para modelos lineares generalizados no ambiente R. 2009. 135f. Dissertação (Mestrado em Matemática Aplicada e Estatística) - Centro de Ciências Exatas e da Terra, Universidade Federal do Rio Grande do Norte, Natal, 2009.
dc.identifierhttps://repositorio.ufrn.br/jspui/handle/123456789/27174
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/3959016
dc.description.abstractBartlett's corrections are statistical procedures to improve statistics whose distributions are approximated by the chi-square distribution. An application of this methodology is to improve the score test in generalized linear models. The resulting correction formula depends on the construction of several matrices whose elements are expressions which involve rst and second order derivatives of the mean and of the variance function taken both with respect to the model linear predictor. As a result, di culties inherent to the process to obtain those derivatives, or even to modify them when it is necessary to respecify the random or the systematic model component, may be the primary cause that this correction methodology is not yet seen as useful tools in the applications of the score test. This master's thesis proposes a computer program developed in the statistical software R to implement automatically corrected score tests given the t of a generalized linear model. Technical details and instructions to use the program are explored on the basis of the analyses of a series of real data examples found in the literature. Furthermore, the results of two simulation experiments are discussed in order to compare properties of the uncorrected and corrected tests and to show the versatility of the proposed program used as a computing tool in the experiments.
dc.publisherUniversidade Federal do Rio Grande do Norte
dc.publisherBrasil
dc.publisherUFRN
dc.publisherPrograma de Pós-Graduação em Matemática Aplicada e Estatística
dc.publisherCentro de Ciências Exatas e da Terra
dc.subjectPrograma computacional R
dc.subjectExpansão Assintótica
dc.subjectCorreção tipo-Bartlett
dc.subjectDistribuição qui-quadrado
dc.titleTestes escore corrigidos para modelos lineares generalizados no ambiente R
dc.typemasterThesis


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