I'm looking for goodness of fit tests for gamma distributions with large data sizes. I have a matrix with around 10,000 data values in it and i have fitted a gamma distribution over a histogram of the data. The problem is testing how well that distribution fits. Chi-squared seems to be used more for discrete distributions and kolmogorov-smirnov seems that large sample sizes make it had to evaluate the D statistic. Also i haven't found a qq plot for gamma, although i think this might be an appropriate test. in summary -is there a gamma goodness of fit test that doesnt depend on the sample size? -is there a way of using qqplot for gamma distributions, if so how would you calculate it from a matrix of data values? -- View this message in context: http://r.789695.n4.nabble.com/Fitting-Gamma-distributionm-tp2257001p2257001.html Sent from the R help mailing list archive at Nabble.com.