New statistical tests offer more powerful tools for data analysis.
The article evaluates different tests for checking if data fits certain distributions. Tests based on sample entropy were compared with traditional tests like the W, Z, and R tests. The traditional tests were found to be more powerful overall, especially the Z test. These traditional tests can also be used with censored data and multiple samples.