Abstract
Chapter 3 utilizes the Multi-Response Permutation Procedures (MRPP) presented in Chap. 2 to develop the relationships between the test statistics of MRPP, δ and \(\mathfrak{R}\), and selected conventional tests and measures designed for the analysis of completely randomized data at the interval level of measurement. The structure of the MRPP test statistic, δ, depends on the choice of v in the generalized Minkowski distance function and the treatment-group weights, C i , i = 1, …, g. Four tests are examined in this chapter: (1) Student’s two-sample t test with interval-level univariate response measurements, (2) Hotelling’s two-sample T2 test with multivariate interval-level response measurements, (3) one-way fixed-effects analysis of variance (ANOVA) with interval-level univariate response measurements, and (4) one-way multivariate analysis of variance (MANOVA) with interval-level multivariate response measurements.
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.
