Outlier Detection in a Circular Regression Model UsingCOVRATIOStatistic

DOI10.1080/03610918.2012.697239zbMath1302.62123OpenAlexW2151727263MaRDI QIDQ5299962

Adzhar Rambli, Safwati Ibrahim, Abdul Ghapor Hussin, Ibrahim Bin Mohamed

Publication date: 24 June 2013

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

Full work available at URL: https://doi.org/10.1080/03610918.2012.697239

zbMATH Keywords

von Mises distributionoutliercircular regressioninfluential observationCOVRATIO

Mathematics Subject Classification ID

Directional data; spatial statistics (62H11) Diagnostics, and linear inference and regression (62J20)

Related Items (5)

Trimmed estimator for circular–circular regression: breakdown properties and an exact algorithm for computation ⋮ Diagnostic analysis of a circular-circular regression model using asymmetric or asymmetric bi-modal circular errors ⋮ A new approach in modelling the circular data: circular ridge estimator ⋮ Robustness of interpretable components in relation to the effect of outliers using measures and circular distances ⋮ Influence measures based on confidence ellipsoids in general linear regression model with correlated regressors

Cites Work

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• Optimal design: Regression models for directions
• Circular regression
• Least circular distance regression for directional data

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