Nonparametric Regression Estimation for Circular Data

  1. Andrea Meilán-Vila 1
  2. Mario Francisco-Fernández 1
  3. Rosa M. Crujeiras
  4. Agnese Panzera
  1. 1 Universidade da Coruña
    info

    Universidade da Coruña

    La Coruña, España

    ROR https://ror.org/01qckj285

Libro:
XoveTIC 2019: The 2nd XoveTIC Conference (XoveTIC 2019), A Coruña, Spain, 5–6 September
  1. Alberto Alvarellos González (ed. lit.)
  2. José Joaquim de Moura Ramos (ed. lit.)
  3. Beatriz Botana Barreiro (ed. lit.)
  4. Javier Pereira Loureiro (ed. lit.)
  5. Manuel F. González Penedo (ed. lit.)

Editorial: MDPI

ISBN: 978-3-03921-444-0,  978-3-03921-443-3

Ano de publicación: 2019

Congreso: XoveTIC (2. 2019. A Coruña)

Tipo: Achega congreso

DIALNET GOOGLE SCHOLAR lock_openAcceso aberto editor

Resumo

Non-parametric regression with a circular response variable and a unidimensional linear regressor is a topic which was discussed in the literature. In this work, we extend the results to the case of multivariate linear explanatory variables. Nonparametric procedures to estimate the circular regression function are formulated. A simulation study is carried out to study the sample performance of the proposed estimators.

Fonte de datos: Dialnet