Procedure to identify outliers through cumulative distribution of extremes in a Gamma response model

DOI10.1080/03610918.2016.1217015zbMath1462.62468OpenAlexW2518861175MaRDI QIDQ4607349

Mariana Resende, Marcelo Angelo Cirillo, Carla Regina Guimarães Brighenti

Publication date: 13 March 2018

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918.2016.1217015

zbMATH Keywords

simulationMahalanobis distancefalse positivesfalse negatives

Mathematics Subject Classification ID

Generalized linear models (logistic models) (62J12) Diagnostics, and linear inference and regression (62J20)

Uses Software

• R

Cites Work

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• Practical Bayesian Density Estimation Using Mixtures of Normals
• The Masking Breakdown Point of Multivariate Outlier Identification Rules
• Features and performance of some outlier detection methods
• Robust inference and modelling for the single ion channel

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