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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 ...
The choice of inicial Estimate for Computing MM-Estimates
(Universidad de San Andrés. Departamento de Matemáticas y Ciencias, 2008-04)
We show, using a Monte Carlo study, that MM-estimates with projec- tion estimates as starting point of an iterative weighted least squares algorithm, behave more robustly than MM-estimates starting at an S-estimate and ...
The case for a fully robust hierarchical Bayesian statistical analysis of clinical trials
(International Workshop on Objective Bayes Methodology (OBayes 09),, 2012)
The usefulness of robust multivariate methods: A case study with the menu items of a fast food restaurant chain
(Universidade Federal de Santa Maria, 2020)
Classification of Systematic Measurement Errors within the Framework of Robust Data Reconciliation
(American Chemical Society, 2017-07)
A robust data reconciliation strategy provides unbiased variable estimates in the presence of a moderate quantity of atypical measurements. However, estimates get worse if systematic measurement errors that persist in time ...
Robust Estimation of Nonredundant Measurements and Equivalent Sets of Observations
(American Chemical Society, 2019-09-20)
The equation-oriented estimation of measurements constitutes the initial stage of many procedures devoted to optimizing a chemical plant. Nevertheless, the estimation of nonredundant measurements and observations related ...
Efficient and robust state estimation: Application to a copolymerization process
(John Wiley & Sons Inc., 2020-11)
Polymerization processes are highly non-linear systems that require strict control of their dynamic operation to be competitive. The unscented Kalman filter is a filtering strategy that has shown a rewarding performance ...
Impartial Trimmed Means for Functional Data
(Universidad de San Andrés. Departamento de Matemáticas y Ciencias, 2003-12)
Trimmed Means for Functional Data
(Universidad de San Andrés. Departamento de Matemáticas y Ciencias, 2001-04)