Mathematics
6 years ago

New method easily identifies outliers in skewed data, revolutionizing data analysis.

The Stata Journal Promoting communications on statistics and Stata
Univariate and Multivariate Outlier Identification for Skewed or Heavy-Tailed Distributions
Vincenzo Verardi, Catherine Vermandele

Paper Summary

Related papers

Theme background image
Neuroscience
a year ago

New study reveals significant sex differences in language-processing brain areas

Language Processing
Language Development
Reading Skills
2 views
Theme background image
Neuroscience
2 years ago

Brain Scans Unlock Powerful Insights with Smaller Samples, Transforming Mental Health Diagnostics

Connectivity Networks
Network Analysis
Magnetic Resonance
1 view
Theme background image
Engineering
2 years ago

New study reveals groundbreaking approach to system availability computations!

Reliability Engineering
Skew Distributions
Multi-Criteria Decision
2 views

The article presents simple methods to find outliers in data with skewed or heavy-tailed distributions. These methods, called gboxplot and sdasym, are designed to work well with these types of data while keeping the calculations simple.