Goodness-of-fit tests for multiple regression with circular response.

Testing procedures for assessing a parametric regression model with a circular response and an R d -valued covariate are proposed and analysed in this work. The test statistics are based on a circular distance comparing a (non-smoothed or smoothed) parametric circular regression estimator and a nonparametric one. Two bootstrap procedures for calibrating the tests in practice are also presented. Finite sample performance of the tests in different scenarios is analysed by simulations and illustrated with real data examples. [ABSTRACT FROM AUTHOR]