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  • Search: subject:"regression depth"
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Year of publication
Subject
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Linear discriminant analysis 3 Logistic regression 3 Outliers 3 Overlap 3 Probit regression 3 Regression depth 3 Separation 3 regression depth 2 62G10 secondary 1 62G20 Distribution-free tests Simplicial depth Regression depth Polynomial regression Degenerated U-statistic Spectral decomposition Outlier robustness 1 Discriminant analysis 1 Diskriminanzanalyse 1 Estimation theory 1 Regression analysis 1 Regressionsanalyse 1 Schätztheorie 1 breakdown value 1 influence function 1 location depth 1 multivariate ranking 1 primary 1 reconstruction algorithm 1 regression depth algorithm inference 1
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Online availability
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Undetermined 4 Free 3
Type of publication
All
Article 4 Book / Working Paper 3
Type of publication (narrower categories)
All
Working Paper 2 Arbeitspapier 1 Graue Literatur 1 Non-commercial literature 1
Language
All
Undetermined 5 English 2
Author
All
Rousseeuw, Peter J. 6 Christmann, Andreas 3 Van Aelst, Stefan 2 Harmand, Peter 1 Hubert, Mia 1 Müller, Christine H. 1 Struyf, Anja 1 Struyf, Anja J. 1 Wellmann, Robin 1
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Institution
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Institut für Wirtschafts- und Sozialstatistik, Universität Dortmund 1
Published in...
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Journal of Multivariate Analysis 4 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
All
RePEc 5 ECONIS (ZBW) 1 EconStor 1
Showing 1 - 7 of 7
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Distribution-free tests for polynomial regression based on simplicial depth
Wellmann, Robin; Harmand, Peter; Müller, Christine H. - In: Journal of Multivariate Analysis 100 (2009) 4, pp. 622-635
A general approach for developing distribution-free tests for general linear models based on simplicial depth is presented. In most relevant cases, the test statistic is a degenerated U-statistic so that the spectral decomposition of the conditional expectation of the kernel function is needed...
Persistent link: https://www.econbiz.de/10005153165
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Measuring overlap in logistic regression
Christmann, Andreas; Rousseeuw, Peter J. - 1999
In this paper we show that the recent notion of regression depth can be used as a data-analytic tool to measure the …
Persistent link: https://www.econbiz.de/10009793277
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Measuring overlap in logistic regression
Christmann, Andreas; Rousseeuw, Peter J. - 1999
In this paper we show that the recent notion of regression depth can be used as a data-analytic tool to measure the …
Persistent link: https://www.econbiz.de/10010316690
Saved in:
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Measuring overlap in logistic regression
Christmann, Andreas; Rousseeuw, Peter J. - Institut für Wirtschafts- und Sozialstatistik, … - 1999
In this paper we show that the recent notion of regression depth can be used as a data-analytic tool to measure the …
Persistent link: https://www.econbiz.de/10010955375
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The Deepest Regression Method
Van Aelst, Stefan; Rousseeuw, Peter J.; Hubert, Mia; … - In: Journal of Multivariate Analysis 81 (2002) 1, pp. 138-166
. Statis. Assoc.94, 388-402). The DR method is defined as the fit with largest regression depth relative to the data. In this … regression depth we derive tests for the true unknown parameters in the linear regression model. Moreover, we construct … simultaneous confidence regions based on bootstrapped estimates. We also use the maximal regression depth to construct a test for …
Persistent link: https://www.econbiz.de/10005093712
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Robustness of Deepest Regression
Van Aelst, Stefan; Rousseeuw, Peter J. - In: Journal of Multivariate Analysis 73 (2000) 1, pp. 82-106
In this paper we investigate the robustness properties of the deepest regression, a method for linear regression introduced by Rousseeuw and Hubert [6]. We show that the deepest regression functional is Fisher-consistent for the conditional median, and has a breakdown value of in all dimensions....
Persistent link: https://www.econbiz.de/10005221661
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Halfspace Depth and Regression Depth Characterize the Empirical Distribution
Struyf, Anja J.; Rousseeuw, Peter J. - In: Journal of Multivariate Analysis 69 (1999) 1, pp. 135-153
. The data need not be in general position. Moreover, we prove the same property for regression depth. …
Persistent link: https://www.econbiz.de/10005152998
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