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Modelo Log-Burr XII para dados grupados e censurados
(2012)
Grouped data is a particular case of interval censored, which occur when individuals are assessed at the same time intervals. This type of data, often associated to situations in which the data has a large number ties whose ...
Modelos para séries temporais utilizando as distribuições normal generalizada e log-normal generalizada
(Universidade Federal de São CarlosUFSCarPrograma de Pós-Graduação em Estatística - PPGEsCâmpus São Carlos, 2016-03-23)
From the generalized normal distribution and concepts of the generalized autoregressive
moving averages models we introduce the generalized normal-ARMA model as
an alternative way to model time series exhibiting symmetry ...
A geostatistical approach to measure the consistency between geological logs and quantitative covariates
(Elsevier, 2017)
Core logging is the geological study, recording and classification of petrophysical attributes of drill hole samples, such as lithology, alteration or mineralogical assemblage. The geological logging is qualitative and ...
Comments about some species abundance patterns: classic, neutral, and niche partitioning models
(Int Inst Ecology, 2008-11-01)
The literature on species abundance models is extensive and a great deal of new and important contributions have been published in the last three decades. Broadly speaking, one can recognize five families of species abundance ...
Comments about some species abundance patterns: classic, neutral, and niche partitioning models
(Int Inst Ecology, 2008-11-01)
The literature on species abundance models is extensive and a great deal of new and important contributions have been published in the last three decades. Broadly speaking, one can recognize five families of species abundance ...
Generalized log-gamma regression models with cure fraction
(SPRINGER, 2009)
In this paper, the generalized log-gamma regression model is modified to allow the possibility that long-term survivors may be present in the data. This modification leads to a generalized log-gamma regression model with ...
Pricing of Defaultable Bonds with Log-Normal Spread: Development of the Model and an Application to Argentinean and Brazilian Bonds During the Argentine Crisis
(Springer, 2005-06)
In this paper we describe a two-factor model for a defaultable discount bond, assuming log-normal dynamics with bounded volatility for the instantaneous short rate spread. Under some simplified hypothesis, we obtain an ...
Modelos log-simétricos com fração de cura
(BrasilUFRNPROGRAMA DE PÓS-GRADUAÇÃO EM MATEMÁTICA APLICADA E ESTATÍSTICA, 2018-05-29)
Long-term models are of great interest in statistical modeling that involves time-to-event
data in which a fraction of the population is immune to this event. For these models, also
known as cure fraction models, there ...
The parametric and additive partial linear regressions based on the generalized odd log-logistic log-normal distribution
(Taylor & Francis Inc, 2020-07-19)
We propose two new regressions based on the generalized odd log-logistic log-normal distribution allowing for positive and negative skewness to model bimodal data. The first one is the parametric regression and the second ...
A log-Birnbaum-Saunders regression model with asymmetric errors
(TAYLOR & FRANCIS LTDABINGDON, 2012)
This paper introduces a skewed log-Birnbaum-Saunders regression model based on the skewed sinh-normal distribution proposed by Leiva et al. [A skewed sinh-normal distribution and its properties and application to air ...