Abstract
Combining independent tests of hypotheses is an important and popular statistical practice. Usually, data about a certain phenomena come from different sources in different times, so we want to combine these data to study these phenomena. Several combination methods were used to combine infinity independent tests. These methods are Fisher, logistic, sum of P-values and inverse normal for testing simple hypotheses against one-sided alternative. These methods are compared via the exact Bahadur slope (EBS). These non-parametric methods depend on the P-value of the individual tests combined.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
