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A Study on Ridge Regression Estimators

A Study on Ridge Regression Estimators
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Restricted Two Parameter Ridge Estimator

Australian and New Zealand Journal of Statistics, 2013
SummaryIn 2005 Lipovetsky and Conklin proposed an estimator, the two parameter ridge estimator (TRE), as an alternative to the ordinary least squares estimator (OLSE) and the ordinary ridge estimator (RE) in the presence of multicollinearity, and in 2006 Lipovetsky improved the two parameter model. In this paper, we introduce two new estimators, one of
Gülesen Ustundag Siray, Selma Toker
exaly   +2 more sources

A note on general ridge estimator

Communications in Statistics - Theory and Methods, 1988
Necessary and sufficient conditions are obtained such that general ridge estimator of Hoerl and Kennard [4] supersedes the least squares estimator relative to the matrix mean square error.
exaly   +2 more sources

Poisson regression diagnostics with ridge estimation

Communications in Statistics - Simulation and Computation, 2021
Influential observations influence the Poisson regression model (PRM) inferences. There are the situations in the PRM, where the explanatory variables are correlated and influential observations oc...
Aamna Khan, Muhammad Aman Ullah, Muhammad Amin   +2 more
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Ridge Estimators in Logistic Regression

Applied Statistics, 1992
Summary: In this paper it is shown how ridge estimators can be used in logistic regression to improve the parameter estimates and to diminish the error made by further predictions. Different ways to choose the unknown ridge parameter are discussed. The main attention focuses on ridge parameters obtained by cross-validation.
le Cessie, S., van Houwelingen, J. C.
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On the estimation of Bell regression model using ridge estimator

Communications in Statistics - Simulation and Computation, 2021
The bell regression is used, when the response variable is in the form of counts with over dispersion.
Muhammad Amin, Muhammad Nauman Akram, Abdul Majid   +2 more
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Fingerprint Ridge Distance Estimation Based on Ridge Search

2009 International Joint Conference on Bioinformatics, Systems Biology and Intelligent Computing, 2009
Fingerprint ridge distance is a very useful parameter in AFIS (automatic fingerprint identification system), it can be used for fingerprint enhancement, identification or classification. In this paper, a new ridge distance estimation method based on the ridge search is presented. Firstly, we use the IPL(initial points line) to select the initial-points
Liming Zhang 0006, Yilong Yin, Dong Yang
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Comparisons of the Unbiased Ridge Estimation to the Other Estimations

Communications in Statistics - Theory and Methods, 2007
In the presence of multicollinearity, ordinary least squares (OLS) estimation is inadequate. Alternative estimation techniques were proposed. One of which is unbiased ridge regression (URR) estimator given by Crouse et al. (1995). In this article, we introduced the URR estimator in two different ways by following Farebrother (1984) and Troskie et al ...
Özkale M.R., Kaçiranlar S.
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A Comparison of Ridge Estimators

Technometrics, 1978
Least squares estimates of the parameters in the usual linear regression model are likely to be too large in absolute value and possibly of the wrong sign when the vectors of explanatory variables are multicollinear. Hoer1 and Kennard have demonstrated that these undesirable effects of multicollinearity can be reduced by using “ridge” estimates in ...
Dean W. Wichern, Gilbert A. Churchill
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