dc.contributorRodrigues, Josemar
dc.contributorhttp://lattes.cnpq.br/4359114733394761
dc.contributorhttp://lattes.cnpq.br/2822435460109129
dc.creatorZavaleta, Katherine Elizabeth Coaguila
dc.date.accessioned2012-05-31
dc.date.accessioned2016-06-02T20:06:07Z
dc.date.available2012-05-31
dc.date.available2016-06-02T20:06:07Z
dc.date.created2012-05-31
dc.date.created2016-06-02T20:06:07Z
dc.date.issued2012-04-12
dc.identifierZAVALETA, Katherine Elizabeth Coaguila. Modelo destrutivo com variável terminal em experimentos quimiopreventivos de tumores em animais. 2012. 60 f. Dissertação (Mestrado em Ciências Exatas e da Terra) - Universidade Federal de São Carlos, São Carlos, 2012.
dc.identifierhttps://repositorio.ufscar.br/handle/ufscar/4561
dc.description.abstractThe chemical induction of carcinogens in chemopreventive animal experiments is becoming increasingly frequent in biological research. The purpose of these biological experiments is to evaluate the effect of a particular treatment on the rate of tumors incidence in animals. In this work, the number of promoted tumors per animal will be parametrically modeled following the suggestions given by Kokoska (1987) and Freedman et al. (1993). The study of these chemopreventive experiments will be presented in the context of the destructive model proposed by Rodrigues et al. (2010) with terminal variable that allows or censures the experiment at time of the animal death. Since the data analyzed in this field are subject to excess of zeros (Freedman et al. (1993)), we propose for the number of promoted tumors a negative binomial distribution (NB), a zero-inflated Poisson distribution (ZIP), and a zero-inflated Negative Binomial distribution (ZINB). The selection of these models will be made through the likelihood ratio test and the AIC, BIC criteria. The estimation of its parameters will be obtained by using the method of maximum likelihood, and further simulation studies will also be realized. As a future proposition to finalize this project, it is suggested the Bayesian methodology as an alternative to the method of maximum likelihood via the EM algorithm.
dc.publisherUniversidade Federal de São Carlos
dc.publisherBR
dc.publisherUFSCar
dc.publisherPrograma de Pós-Graduação em Estatística - PPGEs
dc.rightsAcesso Aberto
dc.subjectEstatística
dc.subjectModelo destrutivo
dc.subjectDistribuição de Poisson
dc.subjectDistribuição binomial negativa
dc.subjectModelos inflacionados de zeros
dc.subjectModelo binomial negativa zero inflacionada
dc.subjectExperimentos quimiopreventivos
dc.subjectDestructive Model
dc.subjectPoisson Model
dc.subjectNegative Binomial Model
dc.subjectZero-Inflated Poisson Model
dc.subjectZero-Inflated Negative Binomial Model
dc.subjectChemopreventive Experiments
dc.titleModelo destrutivo com variável terminal em experimentos quimiopreventivos de tumores em animais
dc.typeTesis


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