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Original Articles

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

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Pages 1131-1147 | Published online: 11 Jan 2007

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Sajjad Piradl, Ali Shadrokh & Masoud Yarmohammadi. (2022) A robust estimation method for the linear regression model parameters with correlated error terms and outliers. Journal of Applied Statistics 49:7, pages 1663-1676.
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Articles from other publishers (7)

Martina Čampulová, Jaroslav Michálek & Jiří Moučka. (2019) Generalised linear model-based algorithm for detection of outliers in environmental data and comparison with semi-parametric outlier detection methods. Atmospheric Pollution Research 10:4, pages 1015-1023.
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V.M. Lourenço & A.M. Pires. (2014) M-regression, false discovery rates and outlier detection with application to genetic association studies. Computational Statistics & Data Analysis 78, pages 33-42.
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C. Corbier, J-C. Carmona & V. Alvarado Martinez. (2012) System Identification with an Extended Threshold M-Estimator for Pseudo-Linear Models Structure. IFAC Proceedings Volumes 45:16, pages 233-238.
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Christophe Corbier, Abdou Fadel Boukari, Jean-Claude Carmona, Victor Alvarado Martinez, George Moraru & François Malburet. (2012) On a Robust Modeling of Piezo-Systems. Journal of Dynamic Systems, Measurement, and Control 134:3.
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C. Corbier, J-C. Carmona & V.A. Alvarado. (2011) A new robust estimation approach: An extended threshold M-estimator procedure. A new robust estimation approach: An extended threshold M-estimator procedure.
Peter Congdon. 2010. Applied Bayesian Hierarchical Methods. Applied Bayesian Hierarchical Methods 495 500 .
Hayley E. Jones, David I. Ohlssen & David J. Spiegelhalter. (2008) Use of the false discovery rate when comparing multiple health care providers. Journal of Clinical Epidemiology 61:3, pages 232-240.e2.
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