Abstract
We study families of two-sample tests with grouped or multinomial data. The tests are based on models for which some function of hazard or continuation ratio probabilities in two distributions differ in some systematic way and include well-known tests such as the discrete Mantel-Haenszel and a Pearson two-sample test. Asymptotic power formulas and Pitman asymptotic relative efficiencies for pairs of tests are provided and simulation is used to study the adequacy of asymptotic power formulas for finite-sample calculations. Results in the paper are used to help design experiments for comparing lumber preservatives.
Sign-in/Register to access full text options 
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.
