Lilliefors test

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]

  1. ^ Lilliefors, Hubert W. (1967-06-01). "On the Kolmogorov-Smirnov Test for Normality with Mean and Variance Unknown". Journal of the American Statistical Association. 62 (318): 399–402. doi:10.1080/01621459.1967.10482916. ISSN 0162-1459. S2CID 16462094.
  2. ^ Lilliefors, Hubert W. (1969-03-01). "On the Kolmogorov-Smirnov Test for the Exponential Distribution with Mean Unknown". Journal of the American Statistical Association. 64 (325): 387–389. doi:10.1080/01621459.1969.10500983. ISSN 0162-1459.