Salīdzināt metodes

	Liljeforsa normalitātes tests	Šapiro-Vilk normāltesta
Nozare	Statistika	Statistika
Saime	Regression model	Hypothesis test
Izcelsmes gads	1967	1965
Autors	Hubert W. Lilliefors	S. S. Shapiro & M. B. Wilk
Tips	Goodness-of-fit / normality test	Normality (goodness-of-fit) test
Pirmavots	Lilliefors, H. W. (1967). On the Kolmogorov-Smirnov Test for Normality with Mean and Variance Unknown. Journal of the American Statistical Association, 62(318), 399-402.	Shapiro, S. S. & Wilk, M. B. (1965). An analysis of variance test for normality (complete samples). Biometrika, 52(3-4), 591–611.
Citi nosaukumi	Lilliefors corrected Kolmogorov-Smirnov test, Lilliefors normality test, Lilliefors Testi	Shapiro-Wilk W test, W test for normality, Shapiro-Wilk normallik testi
Saistītās	5	2
Kopsavilkums	The Lilliefors test is a goodness-of-fit test that checks whether a continuous sample comes from a normal (or exponential) distribution when the mean and variance are unknown and estimated from the data. Introduced by Hubert W. Lilliefors in 1967, it adjusts the critical values of the Kolmogorov-Smirnov test so that they remain valid once the distribution's parameters are estimated rather than known in advance.	The Shapiro-Wilk test is a hypothesis test that checks whether a continuous variable was drawn from a normal distribution. It was introduced by Samuel Shapiro and Martin Wilk in 1965 and is regarded as one of the most powerful normality tests, recommended for sample sizes below 5000.