The article looked at tests to see if a certain type of distribution fits well with real data. They used a method to estimate parameters and found critical values for different test statistics. These tests help determine if the distribution is a good match for the data. The researchers also found the best alternative distribution for these tests. They used real data examples to show how well the tests work.