Several new tests are proposed for examining the adequacy of a family of parametric models against large nonparametric alternatives. These tests formally check if the bias vector of residuals from ...

Assume that we have a sequence of n independent and identically distributed random variables with a continuous distribution function F, which is specified up to a few unknown parameters. In this paper ...

Non-parametric tests are used when standard assumptions are not available. These tests don’t rely on distributions, often ...

Researchers behind a new study say that the methods used to evaluate AI systems’ capabilities routinely oversell AI ...

Having data is only half the battle. How do you know your data actually means something? With some simple Python code, you can quickly check if differences in data are actually significant. In ...