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  • Search: subject:"high breakdown point procedures"
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Year of publication
Subject
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MCD 3 MVE 3 Outliers 3 S-estimators 3 high breakdown point procedures 3 robustness 3 Estimation theory 1 Schätztheorie 1
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Online availability
All
Free 3
Type of publication
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Book / Working Paper 3
Type of publication (narrower categories)
All
Working Paper 2 Arbeitspapier 1 Graue Literatur 1 Non-commercial literature 1
Language
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English 2 Undetermined 1
Author
All
Becker, Claudia 3 Gather, Ursula 3
Institution
All
Institut für Wirtschafts- und Sozialstatistik, Universität Dortmund 1
Published in...
All
Technical Report 1 Technical Reports / Institut für Wirtschafts- und Sozialstatistik, Universität Dortmund 1 Technical report / Sonderforschungsbereich 475 Komplexitätsreduktion in Multivariaten Datenstrukturen, Universität Dortmund 1
Source
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ECONIS (ZBW) 1 EconStor 1 RePEc 1
Showing 1 - 3 of 3
Cover Image
The largest nonidentifiable outlier: A comparison of multivariate simultaneous outlier identification rules
Becker, Claudia; Gather, Ursula - 2000
The aim of detecting outliers in a multivariate sample can be pursued in different ways. We investigate here the performance of several simultaneous multivariate outlier identification rules based on robust estimators of location and scale. It has been shown that the use of estimators with high...
Persistent link: https://www.econbiz.de/10010316578
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Cover Image
The largest nonidentifiable outlier: A comparison of multivariate simultaneous outlier identification rules
Becker, Claudia; Gather, Ursula - Institut für Wirtschafts- und Sozialstatistik, … - 2000
The aim of detecting outliers in a multivariate sample can be pursued in different ways. We investigate here the performance of several simultaneous multivariate outlier identification rules based on robust estimators of location and scale. It has been shown that the use of estimators with high...
Persistent link: https://www.econbiz.de/10010955369
Saved in:
Cover Image
The largest nonidentifiable outlier : a comparison of multivariate simultaneous outlier identification rules
Becker, Claudia; Gather, Ursula - 2000
The aim of detecting outliers in a multivariate sample can be pursued in different ways. We investigate here the performance of several simultaneous multivariate outlier identification rules based on robust estimators of location and scale. It has been shown that the use of estimators with high...
Persistent link: https://www.econbiz.de/10009783550
Saved in:
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