Table 2.
Series | Final model | Parameter estimates |
---|---|---|
Homicide | Yt = ωo/t | ωo = 0.812; t = 1.68 |
Q = 11.87; df = 12 | p < .38 | |
Alcohol | Yt = ωo/t | ωo = 1.730; t = 1.85 |
Q = 18.08; df = 12 | p < .12 | |
Suicide | Yt = (ωo / 1 - δ1B)(1 - B)/t | ωo = 5.343; t = 2.74 |
δ1 = 0.488; t = 1.95 | ||
Q = 5.027; df = 11 | p < .93 |
Note. ωo = Zero-order input parameter of a transfer function. δ1 = first-order output parameter of a transfer function. Q = test statistic for the null hypothesis that the model residuals are distributed as white noise. B = backward shift operator where B(Yt) = Yt-1. /t = intervention series.