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  • Search: subject:"Ridge estimator"
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Year of publication
Subject
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Multicollinearity 7 Ridge estimator 6 Estimation theory 4 Schätztheorie 4 ridge estimator 4 Kernel smoothing 3 Liu estimator 3 general ridge estimator 3 Forecasting model 2 Generalized restricted ridge estimator 2 Linear restriction 2 Linear restrictions 2 Logistic Regression 2 MSE performance 2 Mean square error 2 Modified almost unbiased ridge logistic estimator 2 Prognoseverfahren 2 Semiparametric regression model 2 1985-1987 1 Bank 1 Biased estimator 1 Biasing factors 1 Continuity 1 Cross-validation 1 Differencing sequence 1 Estimating function 1 Feasible ridge estimator 1 Generalized least squares estimator 1 High dimension 1 Kleinste-Quadrate-Methode 1 Kuks-Olman estimator 1 Least squares method 1 Linear affine estimation 1 Linear regression 1 Liu-type estimator 1 Logistics 1 Logistik 1 Lohn 1 Löwner ordering 1 MM estimate 1
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Online availability
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Undetermined 14 Free 5 CC license 1
Type of publication
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Article 18 Book / Working Paper 2
Type of publication (narrower categories)
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Article in journal 4 Aufsatz in Zeitschrift 4 Article 1
Language
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Undetermined 15 English 5
Author
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Li, Yalian 2 Roozbeh, Mahdi 2 Varathan, Nagarajah 2 Yang, Hu 2 Alkhamisi, M. 1 Amini, Morteza 1 Arashi, M. 1 Arnold, Bernhard 1 Barth, James R. 1 Boer, P.M.C. de 1 Hafner, C.M. 1 Hafner, Christian Matthias 1 Han, Sumin 1 Inagaki, Nobuo 1 Inan, Deniz 1 Joo, Sunghoon 1 Lee, Kang Bok 1 Lesage, James P. 1 Liski, Erkii 1 Luo, June 1 Maglic, Stevan 1 Magura, Michael 1 Maronna, Ricardo A. 1 Roozbeh, M. 1 Shen, Xuan 1 Stahlecker, Peter 1 Takagi, Yoshiji 1 Ullah, Aman 1 Wan, Alan T. K. 1 Wang, Huansha 1 Wang, Song-Gui 1 Yohai, Victor J. 1 Zhang, Xinyu 1 Zou, Guohua 1 de Boer, P.M.C. 1 Özkale, M. 1
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Institution
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Erasmus University Rotterdam, Econometric Institute 1 Faculteit der Economische Wetenschappen, Erasmus Universiteit Rotterdam 1
Published in...
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Statistical Papers / Springer 5 Journal of Multivariate Analysis 3 Metrika 2 Annals of the Institute of Statistical Mathematics 1 Computational Statistics & Data Analysis 1 Econometric Institute Report 1 Econometric Institute Research Papers 1 Econometric reviews 1 Journal of business & economic statistics : JBES ; a publication of the American Statistical Association 1 Quantitative finance and economics 1 Statistics & Probability Letters 1 Statistics in Transition new series (SiTns) 1 Statistics in transition : an international journal of the Polish Statistical Association and Statistics Poland 1
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Source
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RePEc 15 ECONIS (ZBW) 4 EconStor 1
Showing 11 - 20 of 20
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Robust functional linear regression based on splines
Maronna, Ricardo A.; Yohai, Victor J. - In: Computational Statistics & Data Analysis 65 (2013) C, pp. 46-55
Many existing methods for functional regression are based on the minimization of an L2 norm of the residuals and are therefore sensitive to atypical observations, which may affect the predictive power and/or the smoothness of the resulting estimate. A robust version of a spline-based estimate is...
Persistent link: https://www.econbiz.de/10010871352
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Feasible ridge estimator in partially linear models
Roozbeh, M.; Arashi, M. - In: Journal of Multivariate Analysis 116 (2013) C, pp. 35-44
In a partial linear model, some non-stochastic linear restrictions are imposed under a multicollinearity setting. Semiparametric ridge and non-ridge type estimators, in a restricted manifold are defined. For practical use, it is assumed that the covariance matrix of the error term is unknown and...
Persistent link: https://www.econbiz.de/10010665715
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Ridge regression revisited
Boer, P.M.C. de; Hafner, C.M. - Erasmus University Rotterdam, Econometric Institute - 2005
. Keywords: general ridge estimator, MSE performance Running head: Ridge Regression Revisited ⁄Econometric Institute, Erasmus … stable matrix X0X +•Ip and that the ridge estimator of fl, ˆfl = (X0X +•Ip)¡1X0y (3) should have a smaller dispersion that … the OLS estimator. To discuss the properties of the ridge estimator, one usually transforms the above linear regression …
Persistent link: https://www.econbiz.de/10005450880
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Ridge regression revisited
Hafner, Christian Matthias; de Boer, P.M.C. - Faculteit der Economische Wetenschappen, Erasmus … - 2005
We argue in this paper that general ridge (GR) regression implies no major complication compared with simple ridge regression. We introduce a generalization of an explicit GR estimator derived by Hemmerle and by Teekens and de Boer and show that this estimator, which is more conservative,...
Persistent link: https://www.econbiz.de/10010731626
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Asymptotic efficiency of ridge estimator in linear and semiparametric linear models
Luo, June - In: Statistics & Probability Letters 82 (2012) 1, pp. 58-62
, we consider the commonly used ridge estimator in linear models. We propose analyzing the ridge estimator for a finite … sample size n and a growing dimension p. The existence and asymptotic normality of the ridge estimator are established under …
Persistent link: https://www.econbiz.de/10011040042
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An unexpected property of minimax estimation in the relative squared error approach to linear regression analysis
Arnold, Bernhard; Stahlecker, Peter - In: Metrika 74 (2011) 3, pp. 397-407
Persistent link: https://www.econbiz.de/10009324798
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Simulation study of new estimators combining the SUR ridge regression and the restricted least squares methodologies
Alkhamisi, M. - In: Statistical Papers 51 (2010) 3, pp. 651-672
Persistent link: https://www.econbiz.de/10008674137
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Another look at the naive estimator in a regression model
Liski, Erkii; Wang, Song-Gui - In: Metrika 41 (1994) 1, pp. 55-64
Persistent link: https://www.econbiz.de/10005155805
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Estimating function with asymptotic bias and its estimator
Takagi, Yoshiji; Inagaki, Nobuo - In: Annals of the Institute of Statistical Mathematics 45 (1993) 3, pp. 499-510
Persistent link: https://www.econbiz.de/10005616350
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Using Bayesian techniques for data pooling in regional payroll forecasting
Lesage, James P. - In: Journal of business & economic statistics : JBES ; a … 8 (1990) 1, pp. 127-135
Persistent link: https://www.econbiz.de/10001081584
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