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Robust estimation in partially linear regression models with monotonicity constraints
(Taylor & Francis, 2019-11)
Partially linear models are important tools in statistical modelling, combining the flexibility of non–parametric models and the simple interpretation of linear models. Monotonicity constraints appear naturally in certain ...
Modelling subject-specific childhood growth using linear mixed-effect models with cubic regression splines
(BioMed Central, 2016)
BACKGROUND: Childhood growth is a cornerstone of pediatric research. Statistical models need to consider individual trajectories to adequately describe growth outcomes. Specifically, well-defined longitudinal models are ...
Corrected Maximum Likelihood Estimators in Linear Heteroskedastic Regression ModelsCorrected Maximum Likelihood Estimators in Linear Heteroskedastic Regression Models
(Sociedade Brasileira de Econometria, 2008)
Crop yield estimation using satellite images: comparison of linear and non-linear models
(Facultad de Ciencias Agropecuarias., 2018)
Robust and sparse estimators for linear regression models
(Elsevier Science, 2017-07)
Penalized regression estimators are popular tools for the analysis of sparse and high-dimensional models. However, penalized regression estimators defined using an unbounded loss function can be very sensitive to the ...
Robust tests for linear regression models based on τ-estimates
(Elsevier Science, 2016-01)
ANOVA tests are the standard tests to compare nested linear models fitted by least squares. These tests are equivalent to likelihood ratio tests, so they have high power. However, least squares estimators are very vulnerable ...
Robust estimators in a generalized partly linear regression model under monotony constraints
(Springer, 2019-02)
In this paper, we consider the situation in which the observations follow an isotonic generalized partly linear model. Under this model, the mean of the responses is modelled, through a link function, linearly on some ...
A robust conditional maximum likelihood estimator for generalized linear models with a dispersion parameter
(Springer, 2019-03-12)
Highly robust and efficient estimators for generalized linear models with a dispersion parameter are proposed. The estimators are based on three steps. In the first step, the maximum rank correlation estimator is used to ...
Advocating better habitat use and selection models in bird ecology
(Sociedade Brasileira de Ornitologia, 2018-06)
Studies on habitat use and habitat selection represent a basic aspect of bird ecology, due to its importance in natural history, distribution, response to environmental changes, management and conservation. Basically, a ...