article Open AccessTop 10% cited
Detecting outliers when fitting data with nonlinear regression – a new method based on robust nonlinear regression and the false discovery rate
BMC Bioinformatics · 2006 · Vol. 7(1) · pp. 123–123
Abstract
Our method, which combines a new method of robust nonlinear regression with a new method of outlier identification, identifies outliers from nonlinear curve fits with reasonable power and few false positives.
Advanced Statistical Methods and ModelsAdvanced Statistical Process MonitoringStatistical Methods and InferenceOutlierRobust regressionNonlinear regressionRegressionAnomaly detectionLeast trimmed squaresMathematicsFalse positive paradoxNon-linear least squaresStatistics
MeSH terms
Computer SimulationData Interpretation, StatisticalFalse Positive ReactionsModels, BiologicalNumerical Analysis, Computer-AssistedRegression AnalysisModels, StatisticalNonlinear Dynamics
Funding
- National Institutes of Health
- National Cancer Institute
Citations
1,586
FWCI
4.41
field-weighted impact
References
26
Percentile
95%
vs. same field & year
Citations per year
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Detecting outliers when fitting data with nonlinear regression – a new method based on robust nonlinear regression and the false discovery rate
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