A quantile-Quantile plot for graphical comparison is best, if you need a numerical test you can use the pearson correlation coefficient between the observed and expected quantiles. A table for that test you can ake for yourself with simulation.
Kjetil Halvorsen Chia C Chong wrote: > > Hi!! > > I have a set of data with some kind of distribution. When I plotted the > histogram density of this set of data, it looks sth like the > Weibull/Exp/Gamma distribution. I find the parameters that best fit the data > and then, plot the respective distribution using the estimated parameters on > the empirical distribution. My question is, what kind of statistical test > that I should use so that I will know which estimated distribution will fit > the data better?? I need some kind of test that will give me some numerical > values which distribution is fit better rather than just observed the > fitting graphically.. > > Thanks for th help in advance.. > > Regards, > CCC > > ================================================================= > Instructions for joining and leaving this list, remarks about the > problem of INAPPROPRIATE MESSAGES, and archives are available at > http://jse.stat.ncsu.edu/ > ================================================================= ================================================================= Instructions for joining and leaving this list, remarks about the problem of INAPPROPRIATE MESSAGES, and archives are available at http://jse.stat.ncsu.edu/ =================================================================
