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Oedometer consolidation test analysis by nonlinear regression
(Amer Soc Testing MaterialsW ConshohockenEUA, 2008)
Heteroscedastic Nonlinear Regression Models
(TAYLOR & FRANCIS INCNEW YORK, 2010)
In this article, we present a generalization of the Bayesian methodology introduced by Cepeda and Gamerman (2001) for modeling variance heterogeneity in normal regression models where we have orthogonality between mean and ...
Nonlinear Regression Models Under Skew Scale Mixtures Of Normal Distributions
(Elsevier Science BVAmsterdam, 2016)
Bayesian nonlinear regression models with scale mixtures of skew-normal distributions: Estimation and case influence diagnostics
(ELSEVIER SCIENCE BV, 2011)
The purpose of this paper is to develop a Bayesian analysis for nonlinear regression models under scale mixtures of skew-normal distributions. This novel class of models provides a useful generalization of the symmetrical ...
Bartlett corrections in Birnbaum-Saunders nonlinear regression models
(TAYLOR & FRANCIS LTDABINGDON, 2012)
Lemonte and Cordeiro [Birnbaum-Saunders nonlinear regression models, Comput. Stat. Data Anal. 53 (2009), pp. 4441-4452] introduced a class of Birnbaum-Saunders (BS) nonlinear regression models potentially useful in lifetime ...
Tree-structured smooth transition models
(Escola de Pós-Graduação em Economia da FGV, 2005-11-03)
The goal of this paper is to introduce a class of tree-structured models that combines aspects of regression trees and smooth transition regression models. The model is called the Smooth Transition Regression Tree (STR-Tree). ...
Measuring time series predictability using support vector regression
(TAYLOR & FRANCIS INC, 2008)
Most studies involving statistical time series analysis rely on assumptions of linearity, which by its simplicity facilitates parameter interpretation and estimation. However, the linearity assumption may be too restrictive ...
A nonlinear regression model with skew-normal errors
(SPRINGER, 2010)
In this paper we have discussed inference aspects of the skew-normal nonlinear regression models following both, a classical and Bayesian approach, extending the usual normal nonlinear regression models. The univariate ...
Asymptotic skewness in Birnbaum-Saunders nonlinear regression models
(ELSEVIER SCIENCE BV, 2010)
The family of distributions proposed by Birnbaum and Saunders (1969) can be used to model lifetime data and it is widely applicable to model failure times of fatiguing materials. We give a simple matrix formula of order ...
Estimating the aboveground biomass and wood volume of savanna woodlands in Brazil's Pantanal wetlands based on allometric correlations
(Elsevier B.V., 2006-06-15)
The quantity and distribution of vegetal biomass are important aspects to consider in ecosystem studies. However, little information is available about Brazil's Pantanal woodland savannas. This work involved the development ...