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...

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Bibliographic Details
Main Authors: Shih-Yun Lee, 李詩芸
Other Authors: I-Feng Lin
Format: Others
Language:zh-TW
Published: 2004
Online Access:http://ndltd.ncl.edu.tw/handle/68017326545657148002