|
You are here |
www.randomservices.org | ||
| | | | |
gregoryfaletto.com
|
|
| | | | | ||
| | | | |
poissonisfish.com
|
|
| | | | | Someof the most fundamental functions in R, in my opinion, are those that deal with probability distributions. Whenever you compute a P-value you relyon a probability distribution, and there are many types out there. In this exercise I will cover four: Bernoulli, Binomial, Poisson, and Normal distributions. Let me begin with some theory first: Bernoulli... | |
| | | | |
ddarmon.github.io
|
|
| | | | | ||
| | | | |
fharrell.com
|
|
| | | In this article I provide much more extensive simulations showing the near perfect agreement between the odds ratio (OR) from a proportional odds (PO) model, and the Wilcoxon two-sample test statistic. The agreement is studied by degree of violation of the PO assumption and by the sample size. A refinement in the conversion formula between the OR and the Wilcoxon statistic scaled to 0-1 (corcordance probability) is provided. | ||