AN UNBIASED VIEW OF MSTL

It does this by evaluating the prediction mistakes of The 2 versions around a particular interval. The check checks the null hypothesis which the two models contain the identical overall performance on average, in opposition to the choice that they don't. In case the exam statistic exceeds a crucial value, we reject the null hypothesis, indicating