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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 ...
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 ...
Deviance residuals in generalised log-gamma regression models with censored observations
(TAYLOR & FRANCIS LTD, 2008)
In this article, we compare three residuals based on the deviance component in generalised log-gamma regression models with censored observations. For different parameter settings, sample sizes and censoring percentages, ...
The generalized log-gamma mixture model with covariates: local influence and residual analysis
(SPRINGER HEIDELBERG, 2009)
In a sample of censored survival times, the presence of an immune proportion of individuals who are not subject to death, failure or relapse, may be indicated by a relatively high number of individuals with large censored ...
Forest management in a secondary Atlantic Rainforest: assessing the harvest damage
(Universidade Federal de Mato Grosso, 2018)
Estimating the bioenergy potential of Pinus radiata plantations in Chile
(Pontificia Universidad Católica de Chile. Facultad de Agronomía e Ingeniería Forestal, 2010)
Características que determinan el valor residual de trozas no podadas de Pinus radiata D. Don
(Universidad Austral de Chile - Sistema de Bibliotecas - Programa Cybertesis, 2003)
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-Linear Regression Model for the Beta-Weibull Distribution
(TAYLOR & FRANCIS INC, 2011)
We introduce the log-beta Weibull regression model based on the beta Weibull distribution (Famoye et al., 2005; Lee et al., 2007). We derive expansions for the moment generating function which do not depend on complicated ...
DETERMINATION OF THE E/G RATIO OF WOOD LOGS USING TRANSVERSE VIBRATION
(SLOVAK FOREST PRODUCTS RESEARCH INSTBRATISLAVA, 2012)
The Bernoulli's model for vibration of beams is often used to make predictions of bending modulus of elasticity when using dynamic tests. However this model ignores the rotary inertia and shear. Such effects can be added ...