Diagnostics for non-linear regression
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Publication:3401365
DOI10.1080/00949650802140703zbMath1179.62098OpenAlexW2003713782MaRDI QIDQ3401365
R. Mínguez, Ali S. Hadi, Enrique F. Castillo
Publication date: 29 January 2010
Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00949650802140703
minimax methodleast squaresLagrangian functioninfluential observationsoutlier detectiondual optimization problemleast absolute valueprimal optimization problem
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Cites Work
- Closed formulas in local sensitivity analysis for some classes of linear and non-linear problems
- Improved feasible solution algorithms for high breakdown estimation.
- On the diversity of estimates.
- Sensitivity analysis of \(M\)-estimates of nonlinear regression model: Influence of data subsets
- Perturbation approach to sensitivity analysis in mathematical programming
- A new measure of overall potential influence in linear regression
- INFLUENCE DIAGNOSTICS FOR THE NORMAL LINEAR MODEL WITH CENSORED DATA
- A Generalized Extreme Studentized Residual Multiple-Outlier-Detection Procedure in Linear Regression
- Detection of Influential Observation in Linear Regression
- Origin of the Theory of Errors
- A comparative analysis of multiple outlier detection procedures in the linear regression model.
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