New test ensures accurate high-dimensional data analysis for diverse datasets.
The article introduces a new test for checking hypotheses in high-dimensional data. The test uses a special statistic and approximates its distribution with a mixture of chi-square distributions. This approximation is accurate even when the data is not normally distributed. The test shows good performance in various scenarios, outperforming other existing methods.
