Bioagriculture Outlier Elimination Based on 3D View of - Variance and Leverage Measurement

Weizheng Shen, Qingming Kong, Jianbo Wang, Nan Ji and Zhongbin Su

Mathematical Problems in Engineering, 2015, vol. 2015, 1-9

Abstract:

Aiming at effective outlier elimination in the biological near-infrared spectral and achieving high accuracy predictive modeling, this paper proposes a novel outlier elimination method based on variance and leverage analysis. Firstly, the characters of near-infrared spectral are summarized; then residual sample -variance, leverage, and residual sample -variance are concatenated as a divergence measurement. We further compared the proposed method with variance, Mahalanobis distance, and Hotelling statistical analysis; the experiment results demonstrate that the proposed methods have competitive outlier elimination and better performance in time complexity and accuracy. The proposed method can also be adopted for other outlier elimination tasks.

Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlmpe:375827

DOI: 10.1155/2015/375827

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