The article explores tests to see if a set of data fits a specific pattern. They use estimates of probability density created by kernel functions. The test compares the estimate to what is expected or a suggested pattern. Results from simulations show that this test is strong compared to other traditional tests. They also found a way to predict how the test behaves in the long run.