A Simple Diagnostic Plot Connecting Robust Estimation, Outlier Detection, and False Discovery Rates

DOI10.1080/02664760600747002zbMath1119.62324OpenAlexW2021944758MaRDI QIDQ3592654

Kenneth M. Rice, David J. Spiegelhalter

Publication date: 13 September 2007

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664760600747002

zbMATH Keywords

robust estimationfalse discovery rateoutlier detection

Mathematics Subject Classification ID

Point estimation (62F10) Robustness and adaptive procedures (parametric inference) (62F35)

Related Items (2)

M-regression, false discovery rates and outlier detection with application to genetic association studies ⋮ A robust estimation method for the linear regression model parameters with correlated error terms and outliers

Uses Software

• R

Cites Work

• Unnamed Item
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• M‐Estimates of regression when the scale is unknown and the error distribution is possibly asymmetric: A minimax result
• Conditionally Unbiased Bounded-Influence Estimation in General Regression Models, with Applications to Generalized Linear Models
• Statistical significance for genomewide studies
• Robust Estimation of a Location Parameter

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