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Table 2 Goodness-of-fit test and selection of optimal ARIMA models

From: Epidemiological and time series analysis on the incidence and death of AIDS and HIV in China

Time series

Optimal

Model

Goodness-of-fit

Ljung-Box test

MASE

RMSE

AIC

BIC

χ2

P value

AIDS incidence

(0,1,3) ×

(2,0,0)12

0.55

0.03

− 553.19

− 535.42

0.00

0.99

HIV incidence

(3,1,0) ×

(1,0,1)12

0.69

0.05

− 436.07

− 418.29

0.09

0.77

AIDS and HIV incidence

(0,1,2) ×

(2,0,0)12

0.56

0.07

− 344.62

− 329.81

0.16

0.69

AIDS death

(0,1,3) ×

(1,0,0)12

0.62

0.01

− 926.73

− 911.92

0.05

0.83

HIV death

(0,1,3) ×

(1,0,0)12

0.61

0.01

− 901.39

− 886.58

0.02

0.89

AIDS and HIV

death

(0,1,3) ×

(1,0,0)12

0.60

0.02

− 724.45

− 709.64

0.03

0.87

  1. Note: MASE Mean absolute scaled error, RMSE Root mean square error, AIC Akaike’s information criterion, BIC Bayesian information criterion