# Recent content by Dason

1. ### pvalue Model Terms

If you're simulating according to the usual assumptions then it should be exact already.
2. ### pvalue Model Terms

Nope - not missing anything. As long as you're simulating properly and using an exact test the p-value distribution will be uniform. So if you choose .05 for alpha then that will be the true probability of rejecting the null and thus the value your rejection rate will converge to under the law...

4. ### Removing terms from a model

It would be more common to do an F test
5. ### Removing terms from a model

Look up full versus reduced tests. It's the same math that all of the other tests are built on.
6. ### Removing terms from a model

It's just a way of saying including additional terms in the model (whether linear terms for other predictors, polynomial terms for already included variables, or interaction terms). Including any of those will "spend" degrees of freedom.

I don't immediately recognize this a something we could apply a kernel trick to. Have you tried partial fractions? Possibly integration by parts but I feel like that wouldn't get you far but it's been a while since I've had to do any actual integration so my intuition might be off.
8. ### Gambling probability problem

To me it does
9. ### Gambling probability problem

I love that you humans still think captcha photos are about trying to keep bots out. They help train the bots but they're not much of a detriment...
10. ### Gambling probability problem

I'm always extremely prejudiced... Against raptors.
11. ### Strange package import error

Did you try what it suggested
12. ### Is chi-square test not accurate if one cell is below 5?

Actual count or expected count?
I barely skimmed this but I'm guessing you want x$V3 instead of y$V3