3 papers
stat.ME2026
ChauBoxplot and AdaptiveBoxplot: Two R packages for boxplot-based outlier detection
Tiejun Tong, Hongmei Lin, Bowen Gang +1
Tukey's boxplot is widely used for outlier detection; however, its classic fixed-fence rule tends to flag an excessive number of outliers as the sample size grows. To address this,…
stat.ME2025
When Tukey meets Chauvenet: a new boxplot criterion for outlier detection
Hongmei Lin, Riquan Zhang, Tiejun Tong
The box-and-whisker plot, introduced by Tukey (1977), is one of the most popular graphical methods in descriptive statistics. On the other hand, however, Tukey's boxplot is free of…
stat.CO2024
Grid Point Approximation for Distributed Nonparametric Smoothing and Prediction
Yuan Gao, Rui Pan, Feng Li +2
Kernel smoothing is a widely used nonparametric method in modern statistical analysis. The problem of efficiently conducting kernel smoothing for a massive dataset on a distributed…