Correlation adjusted penalization in regression analysis
The PhD thesis introduces two new types of correlation adjusted penalization methods to address the issue of multicollinearity in regression analysis. The main purpose is to achieve simultaneous shrinkage of parameter estimators and variable selection for multiple linear regression and logistic regr...
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2012
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Online Access: | http://hdl.handle.net/1993/9147 |
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