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Computational Method for Jackknifed Generalized Ridge Tuning Parameter based on Generalized Maximum EntropyERDUGAN, Funda; AKDENIZ, Fİkrİ.Communications in statistics. Simulation and computation. 2012, Vol 41, Num 8-10, pp 1411-1429, issn 0361-0918, 19 p.Article
Concentration reversals in ridge regressionJENSEN, D. R; RAMIREZ, D. E.Statistics & probability letters. 2009, Vol 79, Num 21, pp 2237-2241, issn 0167-7152, 5 p.Article
Shrinkage minimax estimation and positive-part rule for a mean matrix in an elliptically contoured distributionTSUKUMA, Hisayuki.Statistics & probability letters. 2010, Vol 80, Num 3-4, pp 215-220, issn 0167-7152, 6 p.Article
An application of the local influence diagnostics to ridge regression under elliptical modelLABRA, Filidor V; AOKI, Reiko; ROJAS, Francisco et al.Communications in statistics. Theory and methods. 2007, Vol 36, Num 1-4, pp 767-779, issn 0361-0926, 13 p.Article
Interpreting neural-network results : a simulation studyINTRATOR, Orna; INTRATOR, Nathan.Computational statistics & data analysis. 2001, Vol 37, Num 3, pp 373-393, issn 0167-9473Article
Comparisons of the unbiased ridge estimation to the other estimationsÖZKALE, M. Revan; KACIRANLAR, Selahattin.Communications in statistics. Theory and methods. 2007, Vol 36, Num 1-4, pp 707-723, issn 0361-0926, 17 p.Article
Penalized Maximum Likelihood Principle for Choosing Ridge ParameterMINH NGOC TRAN.Communications in statistics. Simulation and computation. 2009, Vol 38, Num 8-10, pp 1610-1624, issn 0361-0918, 15 p.Article
A prediction-oriented criterion for choosing the biasing parameter in liu estimationOZKALE, M. Revan; KACIRANLAR, Selahattin.Communications in statistics. Theory and methods. 2007, Vol 36, Num -12, pp 1889-1903, issn 0361-0926, 15 p.Article
A Shrinkage Estimation of Central Subspace in Sufficient Dimension ReductionQIN WANG.Communications in statistics. Simulation and computation. 2010, Vol 39, Num 8-10, pp 1868-1876, issn 0361-0918, 9 p.Article
The Restricted and Unrestricted Two-Parameter EstimatorsÖZKALE, M. Revan; KACIRANLAR, Selahattin.Communications in statistics. Theory and methods. 2007, Vol 36, Num 13-16, pp 2707-2725, issn 0361-0926, 19 p.Article
Anomalies in the Foundations of Ridge Regression: Some ClarificationsKAPAT, Prasenjit; GOEL, Prem K.International statistical review. 2010, Vol 78, Num 2, pp 209-215, issn 0306-7734, 7 p.Article
Estimation of the drift of fractional Brownian motionES-SEBAIY, Khalifa; OUASSOU, Idir; OUKNINE, Youssef et al.Statistics & probability letters. 2009, Vol 79, Num 14, pp 1647-1653, issn 0167-7152, 7 p.Article
On the Choice of the Ridge Parameter: A Maximum Entropy ApproachMACEDO, Pedro; SCOTTO, Manuel; SILVA, Elvira et al.Communications in statistics. Simulation and computation. 2010, Vol 39, Num 8-10, pp 1628-1638, issn 0361-0918, 11 p.Article
On Some Ridge Regression Estimators : An Empirical ComparisonsMUNIZ, Gisela; GOLAM KIBRIA, B. M.Communications in statistics. Simulation and computation. 2009, Vol 38, Num 3-5, pp 621-630, issn 0361-0918, 10 p.Article
Shrinkage structure in biased regressionDRUILHET, Pierre; MOM, Alain.Journal of multivariate analysis. 2008, Vol 99, Num 2, pp 232-244, issn 0047-259X, 13 p.Article
Nonlinear GCV and quasi-GCV for shrinkage modelsFU, Wenjiang J.Journal of statistical planning and inference. 2005, Vol 131, Num 2, pp 333-347, issn 0378-3758, 15 p.Article
Liu and Ridge Estimators-A ComparisonGRUBER, Marvin H. J.Communications in statistics. Theory and methods. 2012, Vol 41, Num 19-21, pp 3739-3749, issn 0361-0926, 11 p.Article
On the degrees of freedom in shrinkage estimationKATO, Kengo.Journal of multivariate analysis. 2009, Vol 100, Num 7, pp 1338-1352, issn 0047-259X, 15 p.Article
Ridge estimation to the restricted linear modelZHEN ZHONG; HU YANG.Communications in statistics. Theory and methods. 2007, Vol 36, Num -12, pp 2099-2115, issn 0361-0926, 17 p.Article
Ridge regression : A simulation studyCLARK, A. E; TROSKIE, C. G.Communications in statistics. Simulation and computation. 2006, Vol 35, Num 3, pp 605-619, issn 0361-0918, 15 p.Article
MSE Performance of a Heterogeneous Pre-Test Ridge Regression EstimatorNAMBA, Akio; OHTANI, Kazuhiro.Communications in statistics. Theory and methods. 2012, Vol 41, Num 7-9, pp 1692-1700, issn 0361-0926, 9 p.Article
On the robustness of the adaptive lasso to model misspecificationLU, W; GOLDBERG, Y; FINE, J. P et al.Biometrika. 2012, Vol 99, Num 3, pp 717-731, issn 0006-3444, 15 p.Article
Computational issues with fitting joint location/dispersion models in unreplicated 2k factorialsLOUGHIN, Thomas M; RODRIGUEZ, Jorge E.Computational statistics & data analysis. 2011, Vol 55, Num 1, pp 491-497, issn 0167-9473, 7 p.Article
Autoregressive process modeling via the Lasso procedureNARDI, Y; RINALDO, A.Journal of multivariate analysis. 2011, Vol 102, Num 3, pp 528-549, issn 0047-259X, 22 p.Article
Nonparametric estimation of the anisotropic probability density of mixed variablesEFROMOVICH, Sam.Journal of multivariate analysis. 2011, Vol 102, Num 3, pp 468-481, issn 0047-259X, 14 p.Article