Lilliefors test
Statistical test for normality of data / From Wikipedia, the free encyclopedia
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In statistics, the Lilliefors test is a normality test based on the Kolmogorov–Smirnov test. It is used to test the null hypothesis that data come from a normally distributed population, when the null hypothesis does not specify which normal distribution; i.e., it does not specify the expected value and variance of the distribution.[1] It is named after Hubert Lilliefors, professor of statistics at George Washington University.
A variant of the test can be used to test the null hypothesis that data come from an exponentially distributed population, when the null hypothesis does not specify which exponential distribution.[2]