2010/01/01 by Rob J. Hyndman, Han Lin Shang · 2 citations
Mathematics · Decision Sciences · #Advanced Statistical Methods and Models #Fuzzy Systems and Optimization #Advanced Statistical Process Monitoring
paper · doi:10.1198/jcgs.2009.08158
openalex publication_date 2010/01/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/29
We propose new tools for visualizing large amounts of functional data in the form of smooth curves. The proposed tools include functional versions of the bagplot and boxplot, which make use of the first two robust principal component scores, Tukey’s data depth and highest density regions. By-products of our graphical displays are outlier detection methods for functional data. We compare these new outlier detection methods with existing methods for detecting outliers in functional data, and show that our methods are better able to identify outliers. An R-package containing computer code and datasets is available in the online supplements.