Split-plot multirisposta ad effetti misti con dipendenza ciclica

For the uniresponse case it is well known how to analyse correctly data arising from a fixed and/or random effects model under a split-plot design. Many results are available for both canonical dependence pattern (compound simmetry) and more general patterns. Conversely, for the multiresponse case, there are only few results concerning the repeated measurements context. The aim of this paper is to propose a simple methodology for MANOVA hypothesis tests when a circular autoregressive multiresponse dependence pattern is assumed. Conservative thresholds are suggested in order to perform a powerful test even if only vague information is available about parameters appearing in this dependence pattern.