An empirical study of PLAD regression using the bootstrap

被引：0
|
作者：
Athanassios Kondylis
Joe Whittaker
机构：
[1] University of Neuchâtel,Statistical Institute
[2] Lancaster University,Department of Mathematics and Statistics
来源：
Computational Statistics | 2007年 / 22卷
关键词：
Resampling; Partial least squares; LAD regression; NIR experiments;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Partial LAD regression uses the L1 norm associated with least absolute deviations (LAD) regression while retaining the same algorithmic structure of univariate partial least squares (PLS) regression. We use the bootstrap in order to assess the partial LAD regression model performance and to make comparisons to PLS regression. We use a variety of examples coming from NIR experiments as well as two sets of experimental data.
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页码：307 / 321
页数：14
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