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? Thanks! Sincerely, Shelton Jin -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe" (in the "body", not the subject !) To: r-help-request at stat.math.ethz.ch _._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._
"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". Z> Thanks! > > Sincerely, > Shelton Jin > > -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- > r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html > Send "info", "help", or "[un]subscribe" > (in the "body", not the subject !) To: r-help-request at stat.math.ethz.ch > _._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe" (in the "body", not the subject !) To: r-help-request at stat.math.ethz.ch _._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._
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 -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe" (in the "body", not the subject !) To: r-help-request at stat.math.ethz.ch _._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._