We establish a rigorous procedure for testing a general hypothesis on an arbitrary subset of regression coefficient functions. Specifically, we exploit the techniques developed for post-regularization ...

By pooling the information in multiple samples through a density ratio model, the proposed empirical likelihood method leads to more efficient inferences and therefore reduces the cost in applications ...

This article explores the concept of statistical hypothesis testing, its process, and how organizations can leverage it to make better business decisions. We’ll also examine real-world examples ...