Hi I am reading through the manuals and looking through the website. I find it very hard to find information about how the value determined by GetProb after a fit is defined. Is it the probability to get a value more extreme for chi2 if the model is correct, or is it the inverse? How are the fits being done? In one roottalk emails I found a line saying that the maximum likelihood was used for all fits. But that minimum chi2 assumed gaussian distribution and maximum likelihood assumed poissonian. Is there some explanation of this somewhere? Is the code to be found somewhere? What is the GetProb value if the fit has been max likelihood? How are the errors estimated? If the histogram is to sparse, what happens? Is it possible to rebin parts of the histogram? What fitting method should be used then? Merry Christmas. Agnes
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