Abstract
This article considers sample size determination for designing multiple comparisons with respect to components of a linear function of mean vectors from Np . We propose a two-stage procedure to determine the sample size so that multiple comparisons confidence intervals will cover the true parameters and be sufficiently narrow with a guaranteed high accuracy. Appropriate formulas of design constant involved in the two-stage procedure are provided and tabulated for Tukey's method of all pairwise multiple comparisons, Hsu's method of multiple comparisons with the best, and Dunnett's method of multiple comparisons with a control. An advantage of the proposed procedure is to guarantee a high probability of simultaneous confidence intervals for treatment contrasts as well as maintaining a prespecified width when 's are unknown but spherical models.
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.
