Time series modeling of pertussis incidence in China from 2004 to 2018 with a novel wavelet based SARIMA-NAR hybrid model - Fig 6

Diagnostic tests of the corresponding individual models for the approximation and details yielded by db2 wavelet: (a) Autocorrelation function (ACF) graph of residuals from the SARIMA(0,1,3)(1,0,0)12 model for the approximation; (b) Partial autocorrelation function (PACF) graph of residuals from the SARIMA(0,1,3)(1,0,0)12 model for the approximation; (c) Autocorrelation function (ACF) graph of residuals from the NAR model for the detailed component d1; (d) The response results of outputs and targets from the NAR model for the detailed component d1; (e) Autocorrelation function (ACF) graph of residuals from the NAR model for the detailed component d2; (f) The response results of outputs and targets from the NAR model for the detailed component d2.