[R] Goodness-of-fit on Burr distributed data

[Ludwig Baringhaus]

Am Samstag, 10. November 2001 17:38 schrieben Sie:
> "Xiaodong (Shelton) Jin" wrote:
> > I simulate a uniform data and then transformed into Burr(1,3,1) data,
> > which is of pdf:
> > f(x)=[3*(x^2)] / [(1+x^3)^2], x>0
> > How can I perform a goodness-of-fit test (k-s,
> > anderson-darling,chisq,cramer-von mises,...) on it (should highly accept)
> > to get test-statistics & p-values?
>
> help.search("kolmogorov")
> for example leads you to the package "ctest", where you will find the
> Kolmogorov-Smirnov test, the Chi-squared test or the Shapiro-Wilk test.
> I think the Cramer test is the one implemented in the package "cramer".
No, the package "cramer" provides a multivariate two-sample test. 

L. Baringhaus
Institut fuer 
Mathematische Stochastik
Universitaet Hannover
Welfengarten 1
30167 Hannover
Germany
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