
6 Jun
2011
6 Jun
'11
22:13
Texto da ajuda do R The Lilliefors (Kolomorov-Smirnov) test is the most famous EDF omnibus test for normality. Compared to the Anderson-Darling test and the Cramer-von Mises test it is known to perform worse. Although the test statistic obtained from lillie.test(x) is the same as that obtained from ks.test(x, "pnorm", mean(x), sd(x)), it is not correct to use the p-value from the latter for the composite hypothesis of normality (mean and variance unknown), since the distribution of the test statistic is different when the parameters are estimated. Minha base de dados consiste de uma amostra de tempos de reparo de equipamentos e tempos de operação (um vetor para cada). Neste caso o mais adequado é o lillie.test?