Thanks Reeza ... View more

Hi,      I am using Genmode procedure with Negative binomial model to model total claims for a motor insurance data.  below is the code: proc genmod data=libish.simulatedwithlog; class premiumclass age zone; model no=  zone freq   /dist=negbin offset=logduration type3; output out=libish.dataset2 predicted=nbclaimestimate; run;   the Output statement here creating a new variable called nbclaimestimate , Is this estimated No. of claims calculated by model? I want to calculate total number of estimated claims , can i use these estimated values to show my result   or i need  to calculate this manually by using intercept and covariates exponential like:  exp(Intercept) * exp(Zone) * exp(freq).........   i have one more doubt: i have some example using exp(Intercept) * exp(Zone) +exp(freq) what criteria decides additive effects or multiplicative effect? sorry i am a learner and  new in this field , please help  a bit to understand this. ... View more

i am using motor insurance data , the claim severity is given to me in that data set. based on that i have to model severity. data base is attached with question , i have tried  proc severity procedure using gamma distribution:   proc severity data=libish.simulatedwithlog  crit=aicc ; loss severity; scalemodel logduration / dfmixture =full ; dist gamma ; run;   and also applied  usual gamma model using genmod procedure .   proc genmod data=libish.dataset2; class premiumclass age zone; model severity=premiumclass age /dist=gamma link=log type3; run;   actually how to conclude gamma model is suitable for this data? ... View more

i want to know the sas visual studion vs sas eminer for glm. how these two are different. and as i am replying to a old post so what changes have done in recent years ? ... View more