what I actually mean is; how much of the variance is determined by the model.. I thought that normally the r² calculated this rate but my NEGBINOM and POISS did not calculate this.. I want to know how much of the variance is determined by my estimated models (in order to check if it's a steadfast model) can someone help? thanks
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Hi All, Can someone explain me how I can determine the overall model fit for a negative binomial and Poisson model? (I'm not an expert with SAS enterprise guide, so please explain it simple 🙂 ) I want to know how much of the variance is determined by my estimated models (in order to check if it's a steadfast model Thanks in advance, Regards, Peter
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Hi Michelle, While I'm not familiar with the SAS program I'm using the most easy method, running a SAS task which give the table of "Analysis of Maximum Likelihood Parameter Estimates". Many thanks for your explanation. Peter
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Hi all, I'm not so familiar with the SAS program and therefore this question. I'm trying to fit a model with accident data and I'm using a Negative Binomial model with the crashes as dependent variable. The results shows a Dispersion factor of "0.3516" . Does this means that there is overdispersion? How the value must be read? With respect to 0 or to 1? I hope you can help me. Thanks in advance! Regards, Peter
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Hi all, I'm new with the program SAS enterprise guide. First I succesfully imported some data from a excel file. When executing a Gen. Linear Model this error is shown: WARNING: Tagset HTML4 not found; the default tagset will be used instead. ERROR: Default tagset not found. Be sure that tagsets.default and your preferred tagset are in your ODS path. (Use ODS PATH SHOW to view the current search path.) This output destination cannot continue. ERROR: Fatal ODS error has occurred. Unable to continue processing this output destination. WARNING: No body file. TAGSETS.DEFAULT output will not be created. Can someone help me with this problem? I searched already on internet but found nothing. Thnx, Peter
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