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? regards, Dann -- View this message in context: http://www.nabble.com/Goodness-of-fit-for-gamma-distributions-tp21668711p21668711.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
