Search results

Is that a threat?

I mean... They have the data. They can just compute the percentiles directly. No need for the standard deviation if that's the goal here.

Well you're not normal that's for sure

And how do you think the formula for correlation is related to the earlier discussion? Please answer this question.

What do you see is the relationship between what you quoted and the image you posted?

@AngleWyrm There may have been an ad hominem but the concerns are real. And if we're being honest there are times where I feel like you're only contributing negatively to the discussion (because what you're contributing is sometimes objectively wrong and misleading to the OP). We appreciate...

I've asked myself that before

I never really liked the "Accept Ho" terminology. Change that to "Fail to reject Ho" and it's better.

change theme(axis.text=element_text(size=14)) to theme(axis.text.x = element_text(size=14), axis.text.y = element_blank())

As it should. But simulating from the likelihood isn't really defensible from a frequentist perspective. I'm being pedantic but if that's what you want to do it really makes the most sense to at least acknowledge you're taking a bayesian approach.

Could use the posterior distribution you'd get from a bayesian analysis for that I would think.

Can you provide a link to any source listing that as "exact"?

Do you know about combinations and permutations?

It is. But like you said it must be iid and this ends up with a symmetric distribution which i don't think quite fits the needs here. Plus is a convolution really simpler than an if/else?

Indeed! I even suggested that algorithm in this post: http://www.talkstats.com/threads/need-help-on-a-statistical-algorithm.78447/post-233103

Honestly that's probably a better suggestion for this. Going the full Beta route might be nicer if it's possible to code easily but the triangle distribution would probably work quite well here. I guess it all comes down to the specifics of what attributes are necessary from the distribution.

@AngleWyrm were you perhaps trying to illustrate inverse transform sampling but got the details wrong? https://en.m.wikipedia.org/wiki/Inverse_transform_sampling

@Bman28 let me know if my suggestions on how to do it in Lua help or not. I'm not sure if any of that requires any external packages or whatever because I don't use Lua but wanted to help.

@AngleWyrm .... Are you trying to help? There might be a crumb of usefulness in that post but almost every contribution to this thread that you've made is a net detriment in my mind. You post some things that are kind of related but aren't really useful to what they're trying to do. Maybe...

Actually I might not have read closely enough. I think you can directly sample - you just need to provide a prng instead of a qrng. If that's the case it should be as easy as creating the distribution object and calling it's sample method with a prng of your choosing.