Art
Until [type coverage for in-place in-place functions](https://github.com/JuliaLang/julia/issues/9930) isn't decided, how about using [InplaceOps](https://github.com/simonbyrne/InplaceOps.jl) for abstracting in-place functions?
Please, close. Wrong version.
The Anderson-Darling statistic is weighted more heavily in the tails of the distribution. So when you shifted the distribution, A2 statistic grew larger as differences become more prominent.
Duplicate #242
Remember, you can always store some information as a type parameters. ```julia struct BinomialEqivalenceTest{Ratio, Hypothesis}
I guess `TwoSampleBinomialTest` would be a better name, as a complement to the one-sample `BinomialTest`. I was a bit hasty with type parameters. In this package, the tests' data structure...
Sure, make a PR. It would be easier to comment over the implementation.
Like that `sum((o-e)*(o-e)/e for (o,e) in zip(O,E))`?