fdaoutlier (Q54339)
From MaRDI portal
Outlier Detection Tools for Functional Data Analysis
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | fdaoutlier |
Outlier Detection Tools for Functional Data Analysis |
Statements
30 September 2023
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A collection of functions for outlier detection in functional data analysis. Methods implemented include directional outlyingness by Dai and Genton (2019) <doi:10.1016/j.csda.2018.03.017>, MS-plot by Dai and Genton (2018) <doi:10.1080/10618600.2018.1473781>, total variation depth and modified shape similarity index by Huang and Sun (2019) <doi:10.1080/00401706.2019.1574241>, and sequential transformations by Dai et al. (2020) <doi:10.1016/j.csda.2020.106960 among others. Additional outlier detection tools and depths for functional data like functional boxplot, (modified) band depth etc., are also available.
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