Mathematics Stack Exchange is a question and answer site for people studying math at any level and professionals in related fields. Join them; it only takes a minute:

Sign up
Here's how it works:
  1. Anybody can ask a question
  2. Anybody can answer
  3. The best answers are voted up and rise to the top

I'm working on modeling and comparing data sets, and I need a good way to see if there is a significant difference between the data from the 2 models. An example of the models are here.

I initially thought of using the models to generate data, and to then run a t-test on the generated data to notice any significant differences. Another approach that was recommended was performing a chi squared goodness-of-fit test on generated data to see if the models are accurate.

Is there a better, more accurate or statistically "correct" method to compare these models?

P.S. For what it's worth, I'm using R to perform my analysis.

share|cite|improve this question

Your Answer


By posting your answer, you agree to the privacy policy and terms of service.

Browse other questions tagged or ask your own question.