New method improves accuracy of fitting data to models for better decisions.
The article presents new tests to check if a sample data fits a specific model called the Compound Rayleigh distribution. The researchers created modified versions of well-known tests to handle cases where the model's parameters are unknown or when the data is censored. They found that these new tests provide more accurate results for real medical data sets compared to traditional tests.