An application of ridge regression and LASSO methods for model selection
Ordinary Least Squares (OLS) models are popular tools among field scientists, because they are easy to understand and use. Although OLS estimators are unbiased, it is often advantageous to introduce some bias in order to lower the overall variance in a model. This study focuses on comparing ridge re...
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| Format: | Others |
| Language: | en |
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MSSTATE
2018
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| Online Access: | http://sun.library.msstate.edu/ETD-db/theses/available/etd-06182018-094706/ |