Evaluation of linear trend tests using resampling techniques
Résumé
Resampling techniques, of both bootstrap and surrogate data type, are used in the evaluation of linear trend tests. Monte Carlo simulations were done for several distributions of correlated and independent residuals. In particular for AR(1) residuals, the discrimination of strong autocorrelation from linear trend is investigated with respect to the sample size. The overall results show that resampling reduces the type I and II errors of the trend tests. Following the guidelines suggested by the simulation results, we could find significant linear trend in the data of land air temperature and sea surface temperature.
Origine : Fichiers produits par l'(les) auteur(s)
Loading...