A class of generalized ridge estimator for high-dimensional linear regression

碩士 === 國立中央大學 === 統計研究所 === 102 === In multiple linear regression, the least square estimator is inappropriate for high-dimensional regressors, especially for p≥n. Consider the linear regression model. The generalized ridge estimator has been considered by many authors under the usual p<n setting...

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Bibliographic Details
Main Authors: Szu-peng Yang, 楊思芃
Other Authors: Takeshi Emura
Format: Others
Language:en_US
Published: 2014
Online Access:http://ndltd.ncl.edu.tw/handle/7aw844