Model selection in regression analysis on the data with multicollinearity and missing covariates
碩士 === 國立陽明大學 === 公共衛生研究所 === 92 === In the research of public health, the problems of multicollinearity and missing values are frequently encountered. When the covariates are related to each other, this is called multicollinearity. Serious multicollinearity in regression analysis will make unstable...
Main Authors: | , |
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Format: | Others |
Language: | zh-TW |
Published: |
2004
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Online Access: | http://ndltd.ncl.edu.tw/handle/68017326545657148002 |