Results 241 to 250 of about 2,638,357 (294)

Scalable nonlinear Cox modeling via random Fourier features with analytic uncertainty. [PDF]

BMC Med Res Methodol
Kaya F.
europepmc   +1 more source

Improved prognostic survival models for pediatric medulloblastoma using high dimensional gene expression data. [PDF]

BMC Med Genomics
Amona EB, Sumy MSA, Jones T, Wang S, Mistry AM, Raj A, Donninger H, Yaddanapudi K, Kong M.   +8 more
europepmc   +1 more source

A Study on Ridge Regression Estimators

A Study on Ridge Regression Estimators
openaire   +1 more source

Jackknifing the Ridge Regression Estimator: A Revisit.

Khurana, Mansi, Chaubey, Yogendra P., Chandra, Shalini   +2 more
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Mean squared error comparisons of the modified ridge regression estimator and iiie restricted ridge regression estimator

Communications in Statistics - Theory and Methods, 1998
Swindel (1976) introduced a modified ridge regression estimator based on prior information. Sarkar (1992) suggested a new estimator by combining in a particular way the two approaches followed in obtaining the restricted ieast squares and ordinary ndge regression estimators.
Kaçiranlar S., Sakallioglu S., Akdeniz F.   +2 more
openaire   +3 more sources

A Poisson ridge regression estimator

Economic Modelling, 2011
The standard statistical method for analyzing count data is the Poisson regression model, which is usually estimated using maximum likelihood (ML) method.
Månsson, Kristofer, Shukur, Ghazi
openaire   +3 more sources

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Linearized Ridge Regression Estimator in Linear Regression

Communications in Statistics - Theory and Methods, 2011
In this article, we aim to study the linearized ridge regression (LRR) estimator in a linear regression model motivated by the work of Liu (1993). The LRR estimator and the two types of generalized Liu estimators are investigated under the PRESS criterion.
Xuqing Liu
exaly   +2 more sources

A Tobit Ridge Regression Estimator

Communications in Statistics - Theory and Methods, 2013
This article analyzes the effects of multicollienarity on the maximum likelihood (ML) estimator for the Tobit regression model. Furthermore, a ridge regression (RR) estimator is proposed since the mean squared error (MSE) of ML becomes inflated when the regressors are collinear. To investigate the performance of the traditional ML and the RR approaches
G. Khalaf, K. Månsson, P. Sjölander, G. Shukur   +3 more
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Linearized Restricted Ridge Regression Estimator in Linear Regression

Communications in Statistics - Theory and Methods, 2012
This article primarily aims to put forward the linearized restricted ridge regression (LRRR) estimator in linear regression models. Two types of LRRR estimators are investigated under the PRESS criterion and the optimal LRRR estimators and the optimal restricted generalized ridge regression estimator are obtained.
Xuqing Liu
exaly   +2 more sources