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rf_beta
2011 Jul 29
1
How to interpret Kolmogorov-Smirnov stats
...assumes that the distribution parameters are known
Cramer-von Mises statistic: 0.3866663
Crame-von Mises test: not calculated
Anderson-Darling statistic: 2.820576
Anderson-Darling test: not calculated
So then what i did is I bootstrapped the data based on gathered parameters a
i b :
r_beta <- rbeta(378, 2.148779, 810.067515, ncp = 0);
ks.boot(vectNorm, r_beta, nboots=1000, alternative = c("two.sided", "less",
"greater"), print.level=0)
and got :
$ks.boot.pvalue
[1] 0.002
$ks
Two-sample Kolmogorov-Smirnov test
data: Tr and Co
D = 0.1323, p-value...