Computational Modeling Program, SENAI CIMATEC, Salvador, Bahia, Brazil
A.A. Brito
Computational Modeling Program, SENAI CIMATEC, Salvador, Bahia, Brazil; Federal Institute of Paulo Afonso, Bahia, Brazil
F.M. Oliveira Filho
Computational Modeling Program, SENAI CIMATEC, Salvador, Bahia, Brazil; Estácio de Sá University, Gilberto Gil Campus, Salvador, Bahia, Brazil
B.F. Fernandez
Municipal Foundation Egberto Costa, Feira de Santana, Bahia, Brazil
A.P.N. de Castro
Jorge Amado University Center, Bahia, Brazil
A.M. da Silva Filho
Earth Science and Environment Modeling Program, State University of Feira de Santana, Bahia, Brazil
G.F. Zebende
Department of Physics, State University of Feira de Santana, Bahia, Brazil; Earth Science and Environment Modeling Program, State University of Feira de Santana, Bahia, Brazil
In this paper the algorithm for ΔρDCCA statistical test (Guedes et al., 2018) [1] is presented. Our test begins with the simulation of four time series pairs, by an ARFIMA process. These time series has N=250, 500, 1000, and 2000 points, see Guedes et al. (2018) [1]. The probability distribution function (PDF) is made available for all 10,000 samples, that start from the original time series, in supplementary material.
