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André Rehage
André Rehage
Verified email at statistik.tu-dortmund.de
Title
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Cited by
Year
An angle-based multivariate functional pseudo-depth for shape outlier detection
S Kuhnt, A Rehage
Journal of Multivariate Analysis 146, 325-340, 2016
272016
Outlier detection in contingency tables based on minimal patterns
S Kuhnt, F Rapallo, A Rehage
Statistics and computing 24, 481-491, 2014
192014
The Concept of α-Outliers in Structured Data Situations
S Kuhnt, A Rehage
Robustness and Complex Data Structures: Festschrift in Honour of Ursula …, 2013
62013
Prediction of in-flight particle properties in thermal spraying with additive day-effects
A Rehage, N Rudak, B Hussong, S Kuhnt, W Tillmann
Discussion Paper 06/2012, 2012
62012
Residual Analysis in Generalized Function-on-Scalar Regression for an HVOF Spraying Process
S Kuhnt, A Rehage, C Becker-Emden, W Tillmann, B Hussong
Quality and Reliability Engineering International, 2016
52016
Introduction of a day effect estimator in order to improve the prediction of particle properties in an hvof spraying jet
W Tillmann, S Kuhnt, B Hussong, A Rehage, N Rudak
Thermal Spray Bulletin 2, 132-139, 2012
52012
An angle-based functional depth measure for outlier detection
A Rehage, S Kuhnt
Contributions in infinite-dimensional statistics and related topics, 233-238, 2014
32014
Package ‘alphaOutlier’
A Rehage, S Kuhnt, MA Rehage, D Rsolnp
22016
Ausreißeridentifikation für kategoriale und funktionale Daten im generalisierten linearen Modell
A Rehage
12017
4 aout. cg
A Rehage
Package ‘alphaOutlier’, 4, 2016
2016
aout. binom 3
A Rehage
Package ‘alphaOutlier’, 3, 2016
2016
16 aout. pareto
A Rehage
Package ‘alphaOutlier’, 16, 2016
2016
2 alphaOutlier-package
A Rehage, S Kuhnt
Package ‘alphaOutlier’, 2, 2016
2016
Prediction of in-flight particle properties in thermal spraying with additive day-effects
B Hussong
Deutsche Nationalbibliothek, 2012
2012
Strategies for Outlier Detection in Linear Regression with Functional Response
A Rehage, S Kuhnt
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Articles 1–15