7.4.4 Diagnostik von Zeitreihenmodellen

# Zeitreihenanalyse:

data(LakeHuron)
fit<-arima(LakeHuron,order=c(1,0,1))

pdf("ts11.pdf",width=7,height=6)
par(mar=c(4,4,4,2))
tsdiag(fit)
dev.off()


Box.test(fit$residuals,lag=1)

Box-Pierce test

data: fit$residuals
X-squared = 0.0021, df = 1, p-value = 0.9631