New test accurately identifies distribution in censored samples, improving data analysis.
The article introduces a new test to check if a set of data comes from a normal distribution, even when some information is missing. The researchers used samples of different sizes and censored them at certain points. They then applied two statistical tests to compare the data to nine other possible distributions. The results showed that the new test is very good at telling apart the different distributions, even with missing data.