Deng et al., 2016 - Google Patents
A bootstrapping soft shrinkage approach for variable selection in chemical modelingDeng et al., 2016
- Document ID
- 7608309427182869520
- Author
- Deng B
- Yun Y
- Cao D
- Yin Y
- Wang W
- Lu H
- Luo Q
- Liang Y
- Publication year
- Publication venue
- Analytica chimica acta
External Links
Snippet
In this study, a new variable selection method called bootstrapping soft shrinkage (BOSS) method is developed. It is derived from the idea of weighted bootstrap sampling (WBS) and model population analysis (MPA). The weights of variables are determined based on the …
- 239000000126 substance 0 title description 6
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- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using infra-red, visible or ultra-violet light
- G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
- G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
- G01N21/31—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
- G01N21/35—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infra-red light
- G01N21/3577—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infra-red light for analysing liquids, e.g. polluted water
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