Meilán-Vila, AndreaFrancisco-Fernández, MarioCrujeiras-Casais, Rosa M.2023-11-282023-11-282022A. Meilán-Vila, M. Francisco-Fernández & R.M. Crujeiras (2022) Goodness-of-fit tests for multiple regression with circular response, Journal of Statistical Computation and Simulation, 92:9, 1941-1963, DOI: 10.1080/00949655.2021.2015597http://hdl.handle.net/2183/34361Versión final aceptada de: https://doi.org/10.1080/00949655.2021.2015597This is an Accepted Manuscript of an article published by Taylor & Francis in Journal of Statistical Computation and Simulation on 2022, available at: https://doi.org/10.1080/00949655.2021.2015597[Abstract]: Testing procedures for assessing a parametric regression model with a circular response and an Rd-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.engAtribución-NoComercial-SinDerivadas 3.0 Españahttp://creativecommons.org/licenses/by-nc-nd/3.0/es/Model checkingCircular dataLocal linear regressionBootstrapjournal articleopen access10.1080/00949655.2021.2015597