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The Log-Burr XII Regression Model for Grouped Survival Data
(2012)
The log-Burr XII regression model for grouped survival data is evaluated in the presence of many ties. The methodology for grouped survival data is based on life tables, where the times are grouped in k intervals, and we ...
The Log-Burr XII Regression Model for Grouped Survival Data
(Taylor & Francis Group, 2012)
The log-Burr XII regression model for grouped survival data is evaluated in the
presence of many ties. The methodology for grouped survival data is based on life
tables, where the times are grouped in k intervals, and ...
Residuals for log-Burr XII regression models in survival analysis
(ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD, 2011)
In this paper, we compare three residuals to assess departures from the error assumptions as well as to detect outlying observations in log-Burr XII regression models with censored observations. These residuals can also ...
Influence of the facial pattern on ANB, AF-BF, and Wits appraisal.
(2006-12-01)
AIM: To assess the correlation between Wits and AF-BF appraisals with the ANB angle, and verify the influence of the facial type on these appraisals. METHODS: Lateral cephalometric radiographs from 118 untreated individuals ...
Influence of the facial pattern on ANB, AF-BF, and Wits appraisal.
(2006-12-01)
AIM: To assess the correlation between Wits and AF-BF appraisals with the ANB angle, and verify the influence of the facial type on these appraisals. METHODS: Lateral cephalometric radiographs from 118 untreated individuals ...
Modeling variability in generalized linear models
This work proposes joint modeling of parameters in the biparametric exponential family, including heteroscedastic linear regression (non linear regression) models; with joint modeling of the mean and precision (the ...
Contribuições em modelos de regressão com erro de medida multiplicativo
(Universidade Federal de São CarlosUFSCarPrograma Interinstitucional de Pós-Graduação em Estatística - PIPGEsCâmpus São Carlos, 2016-02-04)
In regression models in which a covariate is measured with error, it is common
to use structures that correlate the observed covariate with the true non-observed
covariate. Such structures are usually additive or ...
Extensões do resíduo quantílico
(Universidade Federal de São CarlosUFSCarPrograma Interinstitucional de Pós-Graduação em Estatística - PIPGEsCâmpus São Carlos, 2022-12-20)
Regression models have profound importance in analyses that aim to investigate the relationship between a dependent variable and a set of predictor variables. The diagnostic analysis is a fundamental step in validating a ...
Does municipal socioeconomic development affect public perceptions of crime? A multilevel logistic regression analysis
(Springer, 2018-07)
Chile is considered as one of the safest countries in Latin America, with a below-the-average world crime rate. However, during the last few decades, the country has experienced a deterioration in public perceptions of ...