Detection of outliers in simple circular regression models using the mean circular error statistic

DOI10.1080/00949655.2011.602679zbMath1349.62180OpenAlexW2089831508MaRDI QIDQ4922629

Abdul Ghapor Hussin, Ali H. Abuzaid, Ibrahim Bin Mohamed

Publication date: 3 June 2013

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949655.2011.602679

zbMATH Keywords

outliercircular distancecircular regression modelmean circular errorrow deletion

Mathematics Subject Classification ID

Multivariate distribution of statistics (62H10) Directional data; spatial statistics (62H11) Hypothesis testing in multivariate analysis (62H15)

Related Items (10)

A clustering approach to detect multiple outliers in linear functional relationship model for circular data ⋮ Robust piecewise linear L₁-regression via nonsmooth DC optimization ⋮ Anomaly Detection in High-Dimensional Data ⋮ Diagnostic analysis of a circular-circular regression model using asymmetric or asymmetric bi-modal circular errors ⋮ Recent advances in directional statistics ⋮ Influence diagnostics in possibly asymmetric circular-linear multivariate regression models ⋮ CircSpaceTime: an R package for spatial and spatio-temporal modelling of circular data ⋮ Unnamed Item ⋮ Detection of outliers in the response and explanatory variables of the simple circular regression model ⋮ The circular quantile residual

Cites Work

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• A New Test of Discordancy in Circular Data
• Outliers in Circular Data
• Circular regression

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