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  4. The LORELIA Residual Test - A New Outlier Identification Test for Method Comparison Studies
 
Zitierlink URN
https://nbn-resolving.de/urn:nbn:de:gbv:46-diss000116129

The LORELIA Residual Test - A New Outlier Identification Test for Method Comparison Studies

Veröffentlichungsdatum
2009-10-23
Autoren
Rauch, Geraldine  
Betreuer
Timm, Jürgen  
Gutachter
Geistanger, Andrea  
Zusammenfassung
Method comparison studies are performed in order to prove equivalence between two measurement series resulting from two measurement instruments. The presence of outliers in method coparison studies can indicate problems and errors in the measurement process such as contaminated samples, wrong measurement or wrong callibrated instruments. Therefore, it is of great importance to identify existing outliers and to examine and report them carefully. Datasets in method comparison studies often show a very inhomogeneous sample distribution and heteroscedastic random error variances. Common outlier tests proposed in the literature however are based on the assumption of a homogeneous sample distribution and homoscedastic random error variances. In this work, a new outlier test for methods comparison studies based on robust linear regression is proposed to overcome these special problems. Outlier limits are constructed as local confidence intervals for the orthogonal residuals without making assumptions on the underlying residual variance model. The new LORELIA (LOcal RELIAbility) Residual Test is based on a local and robust residual variance estimator, given as a weighted sum of the observed residuals.
Schlagwörter
Outliers

; 

Method Comparison Studies

; 

Heteroscedasticity

; 

Local Variance Estimator
Institution
Universität Bremen  
Fachbereich
Fachbereich 03: Mathematik/Informatik (FB 03)  
Dokumenttyp
Dissertation
Zweitveröffentlichung
Nein
Sprache
Englisch
Dateien
Lade...
Vorschaubild
Name

00011612.pdf

Size

1.89 MB

Format

Adobe PDF

Checksum

(MD5):ce15b3d79395f08f39715ab74a7d973f

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