Hubert Lilliefors is most commonly known for developing the Lilliefors test, which is a statistical test for normality. The Lilliefors test is used to determine whether a sample comes from a normally distributed population, especially when the population mean and variance are unknown. It is a modification of the Kolmogorov-Smirnov test and is particularly useful in situations where the sample size is small.
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