信息准则函数，判断序列的最佳滞后阶数，分别计算AIC和SBIC统计量，并把结果赋值到一个一维数组，第一个是Aic值，第二个Sbic值。当选择最佳滞后阶数时，统计量越小越好。
AIC和SBIC的表达式如下所示：
[img type="tslxml" file="media2024-03-20_WEfCpvnqqtg5qGJa/image573.png"][/img]
[img type="tslxml" file="media2024-03-20_WEfCpvnqqtg5qGJa/image574.png"][/img]
[img type="tslxml" file="media2024-03-20_WEfCpvnqqtg5qGJa/image575.png"][/img]
其中：T为样本容量；k为自变量个数；u为残差；
范例(t):
[code]
U:=array(0.245863,0.056726,-0.145411,-0.287547,-0.410684,0.012821,0.073042,0.20190…
范例(t):
[code]
U:=array(0.245863,0.056726,-0.145411,-0.287547,-0.410684,0.012821,0.073042,0.20190…
来源于.NET函数大全
范例(t):
[code]
Y:=array(0.001,0.564,0.193,0.809,0.585,0.48,0.35,0.896,0.823,0.747);
X:= array(
(0…
[code]
Y:=array(0.001,0.564,0.193,0.809,0.585,0.48,0.35,0.896,0.823,0.747);
X:= array(
(0…
范例(t):
[code]
U:=array(0.245863,0.056726,-0.145411,-0.287547,-0.410684,0.012821,0.073042,0.20190…
[code]
U:=array(0.245863,0.056726,-0.145411,-0.287547,-0.410684,0.012821,0.073042,0.20190…