Dimension Reduction for Censored Regression Data via Sliced Average Variance Estimation
碩士 === 東海大學 === 統計學系 === 94 === With censoring, high-dimensional regression becomes much more complicated. Since censoring can cause severe bias in estimation, modification to adjust such bias is needed to be made. Under the conditionally independent censoring condition, we propose the modification...
Main Authors: | , |
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Other Authors: | |
Format: | Others |
Language: | en_US |
Published: |
2006
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Online Access: | http://ndltd.ncl.edu.tw/handle/86607285054930966633 |