Hello all,
I wrote the following code to fit a NHPP on my data. The problem is while it gives me the parameters and their relative errors, it does not provide a fitting error, like Anderson Darling. I want to see how far my fitted model is from the general data (e.g. mean square error). I want to know which model, power-law or log-linear, provides a better fit. I need your help, ASAP. Thank you!
code:
proc reliability data=app1;
title 'Apple-Dataset';
unitid id;
distribution nhpp(pow);
model time*day(-1);
mcfplot time*day(-1) / fit=model noconf;
run;
Regards,
Yazdan