dc.contributor | Diniz, Carlos Alberto Ribeiro | |
dc.contributor | http://lattes.cnpq.br/4423792653643417 | |
dc.contributor | http://lattes.cnpq.br/4423792653643417 | |
dc.creator | Oliveira, Willian Luís de | |
dc.date.accessioned | 2016-09-21T12:48:30Z | |
dc.date.available | 2016-09-21T12:48:30Z | |
dc.date.created | 2016-09-21T12:48:30Z | |
dc.date.issued | 2016-01-28 | |
dc.identifier | OLIVEIRA, Willian Luís de. Uma classe de modelos de regressão bivariados para respostas discreta e contínua. 2016. Tese (Doutorado em Estatística) – Universidade Federal de São Carlos, São Carlos, 2016. Disponível em: https://repositorio.ufscar.br/handle/ufscar/7322. | |
dc.identifier | https://repositorio.ufscar.br/handle/ufscar/7322 | |
dc.description.abstract | In this thesis, a wide general class of models for mixed responses is proposed in which joint distributions are constructed by the conditional approach (probability density functions, (pdf), as the product of a marginal pdf and a conditional pdf). It is assumed that the distribution of the discrete response and the conditional distribution of the continuous response given the discrete variable belong to one- or two-parameter exponential family of distributions. Furthermore, the marginal means are related to the
covariates by link functions using linear and/or nonlinear and/or non-parametric predictors and a dependency structure between the responses is introduced into the model via the conditional mean. Estimation methods, diagnostic analysis and in uence techniques are presented as well as a simulation study considering the Bernoulli-exponential and Poisson-normal semiparametric models, two particular cases of the proposed class.
Finally, one of the proposed models is used in a real data set involving the total cost of
care for each patient during hospitalization, the use or not of the intensive treatment
units and the age of the patient. | |
dc.language | por | |
dc.publisher | Universidade Federal de São Carlos | |
dc.publisher | UFSCar | |
dc.publisher | Programa de Pós-Graduação em Estatística - PPGEs | |
dc.publisher | Câmpus São Carlos | |
dc.rights | Acesso aberto | |
dc.subject | Modelos de regressão bivariados | |
dc.subject | Respostas discreta e contínua | |
dc.subject | Método da fatoração | |
dc.subject | Dependência entre respostas | |
dc.subject | Bivariate regression models | |
dc.subject | Discrete and continuous responses | |
dc.subject | Conditional approach | |
dc.subject | Dependency between the responses | |
dc.title | Uma classe de modelos de regressão bivariados para respostas discreta e contínua | |
dc.type | Tesis | |