"Ask n statisticians, get C(n,k) opinions."
- me, just now
Suppose I have some physics data binned into 80 bins. And I have two
models which propose to fit some characteristic of interest and a
non-linear background. One is a simple polynomial. The other is a more
complicated. I can calculate a reduced chi square for each data fit.
What's the best way to compare the two models?
I have a dim memory of this lecture. Does someone have a good translation
of said lecture into terms a physicist can understand?