On a minimum distance estimate of the period in functional autoregressive processes

Abstract

We consider a continuous time random process with functional autoregressive representation. We state statistical results on a mean functional estimator determining a minimum distance estimator of the period giving consistency and a limit law stated in Mourid and Benyelles [13]. Then we discuss their performance on numerical simulations and on real data analyzing the cycle of a climatic phenomena.