New bounds for rank statistics ensure accurate testing and confidence estimation.
The article presents simple bounds for tail areas of linear signed rank statistics. These bounds are easy to calculate and can be used in testing or confidence estimation without any restrictions on score functions. Unlike other tests that rely on approximations, these bounds provide exact results, ensuring that the null hypothesis is not rejected too often.
