New method accurately tests directional data distribution on a sphere.
The article explores ways to test how well a specific mathematical model fits real-world directional data. The researchers tested different methods on simulated data to see which ones worked best. They found that the Kolmogorov-Smirnov test was effective for certain scenarios, while the Rao's score test performed better in others. The study also included a practical example using actual directional data to demonstrate the methods in action.