Abstract
A method is described for simulating multivariate ordinal variates with specified marginal distributions and correlation structure. The method relies on simulating correlated binary variates as an intermediate step. After collapsing the ordinal levels to the binary ones, it is straightforward to obtain binary means. Corresponding binary correlations are computed via simulation in a way to ensure that re-conversion to the ordinal scale delivers the original distributional properties. Employing binary data generation is shown to be an effective method for simulating ordinal variates for a broad range of given marginals and pairwise associations.
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.
