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Robust testing for superiority between two regression curves
(Elsevier Science, 2016-05)
The problem of testing the null hypothesis that the regression functions of two populations are equal versus one-sided alternatives under a general nonparametric homoscedastic regression model is considered. To protect ...
A guide for kernel generalized regression methods for genomic-enabled prediction
(Springer Nature, 2021)
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 ...
On the Prediction of Personal Stature from Cranial Dimensions
(Sociedad Chilena de Anatomía, 2010)
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 ...
Productivity analysis of LHD equipment using the multiple linear regression method in an underground mine in Peru
(International Institute of Informatics and Systemics, IIIS, 2019-01-01)
The current study is based on a multiple linear regression analysis with an objective to formulate an equation related to the productivity analysis of LHD equipment using independent variables such as the effective utilization ...
Modelling non-proportional hazard for survival data with different systematic components
(Springer, 2020-06-30)
We propose a new extended regression model based on the logarithm of the generalized odd log-logistic Weibull distribution with four systematic components for the analysis of survival data. This regression model can be ...
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 ...