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Modelos de regressão para dados de contagem k-modificados
(Universidade Federal de São CarlosUFSCarPrograma Interinstitucional de Pós-Graduação em Estatística - PIPGEsCâmpus São Carlos, 2020-01-21)
In this work the regression model to k-Modified family distributions is proposed. It is understood as modification, the inclusion of a parameter in the probability mass function of the traditional discrete distributions, ...
Modelo poisson zero-modificado com efeito aleatório para dados longitudinais
(Universidade Federal de São CarlosUFSCarPrograma Interinstitucional de Pós-Graduação em Estatística - PIPGEsCâmpus São Carlos, 2019-12-09)
In this work we present the Zero-Modified Poisson model with Normal random effect, and the Zero-Modified Poisson model with Generalized Log-Gamma random effect, which are extensions of the Zero-Modified Poisson model. Since ...
Distribuições k-modificadas da família Série de Potência uniparamétrica
(Universidade Federal de São CarlosUFSCarPrograma Interinstitucional de Pós-Graduação em Estatística - PIPGEsCâmpus São Carlos, 2017-05-23)
This paper proposes a family of distributions Power Series k-Modified from to model sets of count data which have or not any discrepancy in the frequency of observation k in relation to the distribution associated Power ...
Spatial analysis of counting data with excess zeros applied to the study of dengue incidence in Campinas, Sao Paulo State, Brazil
(Cadernos Saude Publica, 2016-08-01)
Dengue incidence occurs predominantly within city limits. Identifying spatial distribution of the disease at the local level helps formulate strategies to control and prevent the disease. Spatial analysis of counting data ...
Combining cosmological constraints from cluster counts and galaxy clustering
(2015-01-01)
Present and future large scale surveys offer promising probes of cosmology. For example the Dark Energy Survey (DES) is forecast to detect ~300 millions galaxies and thousands clusters up to redshift ~1.3. I here show ...
Semiparametric Bayesian inference for multilevel repeated measurement data
(WILEY, 2007)
We discuss inference for data with repeated measurements at multiple levels. The motivating example is data with blood counts from cancer patients undergoing multiple cycles of chemotherapy, with days nested within cycles. ...