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On a robust local estimator for the scale function in heteroscedastic nonparametric regression
(Elsevier Science, 2010-08)
When the data used to fit an heteroscedastic nonparametric regression model are contaminated with outliers, robust estimators of the scale function are needed in order to obtain robust estimators of the regression function ...
Conditional likelihood inference in a heteroscedastic functional measurement error model
(Elsevier, 2023)
In this paper, we deal with inference about the structural parameters in a heteroscedastic functional measurement error models under the normal distribution assumption. Given a minimal sufficient statistic for the incidental ...
Robust Testing For Normality Of Error Terms With Presence Of Autocorrelation And Conditional Heteroscedasticity
(2017)
Normality of the error terms in regression models is one of the basic assumptions in the applied regression analysis. Therefore, testing for normality of the error terms constitutes one of the most important steps of ...
Avaliação genética de uma população multirracial Angus-Nelore
(Universidade Federal de Santa MariaBrasilZootecniaUFSMPrograma de Pós-Graduação em ZootecniaCentro de Ciências Rurais, 2017-02-21)
The objective of this study was to evaluate the best model for the genetic evaluation for the trait average daily gain of weaning to post weaning (ADGWP), of a multiple-breed Nellore and Angus population, comprised of ...
Experience as a conditioning effect on choice: Does it matter whether it is exogenous or endogenous?
(2021)
Previous choice studies have proposed a way to condition the utility of each alternative in a
choice set on experience with the alternatives accumulated over previous periods, defned
either as a mode used or not in a most ...
Valoración de riesgo en acciones de la bolsa de valores de Colombia: una aplicación de modelos de heterocedasticidad condicionada
(Universidad de La Salle. Facultad de Ciencias Económicas y Sociales. Finanzas y Comercio Internacional, 2018)
Exploration and exploitation in crisis environment: Implications for level and variability of firm performance
Exploration and exploitation are two generic strategies of firms' adaptation to their environments. However, the
effectiveness and reliability of these approaches are not fully understood when the business environment ...
Detecting influential observations in spatial models using Bregman divergence
(Universidade Federal de São CarlosUFSCarPrograma Interinstitucional de Pós-Graduação em Estatística - PIPGEsCâmpus São Carlos, 2018-02-26)
How to evaluate if a spatial model is well ajusted to a problem? How to know if it is the best model between the class of conditional autoregressive (CAR) and simultaneous autoregressive (SAR) models, including homoscedasticity ...