Robust and efficient estimation of nonparametric generalized linear models. [PDF]
Test (Madr), 2023 Kalogridis I, Claeskens G, Van Aelst S.
europepmc +1 more source
Robust fitting of mixtures of GLMs by weighted likelihood. [PDF]
Adv Stat Anal, 2022 Greco L.
europepmc +1 more source
On the determination coefficient in robust regression
, 2000 In simple linear regression the determination coefficient tells us which percentage of the variance of the response variable is explained by the fitted linear mapping of the explanatory variable.
Dirk Tasche
core
Influence function and efficiency of the minimum covariance determinant scatter matrix estimator. [PDF]
The minimum covariance determinant (MCD) scatter estimator is a highly robust estimator for the dispersion matrix of a multivariate, elliptically symmetric distribution. It is relatively fast to compute and intuitively appealing.
Croux, Christophe, Haesbroeck, G
core
Optimal Breakdown Point Maximizing Designs
, 1994 . In linear models the breakdown point of an estimator depends strongly on the underlying design. This holds in particular for high breakdown point estimators as the least median of squares estimator or least trimmed squares estimators. It could be shown
Christine H. Müller
core
The Cost Of Not Knowing The Radius Helmut Rieder
, 2006 Robust Statistics considers the quality of statistical decisions in the presence of deviations from the ideal model, where deviations are modelled by neighborhoods of a certain size about the ideal model.
P. Ruckdeschel +4 more
core
Depth functions and mutidimensional medians on minimal spanning trees. [PDF]
J Appl Stat, 2020 Yang M, Modarres R, Guo L.
europepmc +1 more source
OPTIMAL DESIGNS FOR SPLINE WAVELET REGRESSION MODELS. [PDF]
J Stat Plan Inference, 2017 Maronge JM, Zhai Y, Wiens DP, Fang Z.
europepmc +1 more source
ASSESSING ROBUSTNESS OF CLASSIFICATION USING ANGULAR BREAKDOWN POINT. [PDF]
Ann Stat, 2018 Zhao J, Yu G, Liu Y.
europepmc +1 more source
Rejecting Chaotic Disturbances Using a Super-Exponential-Zeroing Neurodynamic Approach for Synchronization of Chaotic Sensor Systems. [PDF]
Sensors (Basel), 2018 Chen D, Li S, Wu Q.
europepmc +1 more source