AR(2)모델의 condition 유도하기 공부/통계학2018. 12. 11. 22:17
출처 : https://stats.stackexchange.com/questions/118019/a-proof-for-the-stationarity-of-an-ar2
phi1 <- seq(from = -2.5, to = 2.5, length = 51)
plot(phi1,1+phi1,lty="dashed",type="l",xlab="",ylab="",cex.axis=.8,ylim=c(-1.5,1.5))
abline(a = -1, b = 0, lty="dashed")
abline(a = 1, b = -1, lty="dashed")
title(ylab=expression(phi[2]),xlab=expression(phi[1]),cex.lab=.8)
polygon(x = phi1[6:46], y = 1-abs(phi1[6:46]), col="gray")
lines(phi1,-phi1^2/4)
text(0,-.5,expression(phi[2]<phi[1]^2/4),cex=.7)
text(1.2,.5,expression(phi[2]>1-phi[1]),cex=.7)
text(-1.75,.5,expression(phi[2]>1+phi[1]),cex=.7)
Consider the equation
If is a root of the "standard" characteristic equation and setting , the display obtains from rewriting the standard one as follows:
Hence, an alternative condition for stability of an is that all roots of the first display are insidethe unit circle, .
We use this representation to derive the stationarity triangle of an process, that is that an is stable if the following three conditions are met:
Recall that you can write the roots of the first display (if real) as
to find the first two conditions.Consider the equation
If is a root of the "standard" characteristic equation and setting , the display obtains from rewriting the standard one as follows:
We use this representation to derive the stationarity triangle of an process, that is that an is stable if the following three conditions are met:
Recall that you can write the roots of the first display (if real) as
Then, the is stationary iff , hence (if the are real):
If is complex, then and so
Plotting the stationarity triangle, also indicating the line that separates complex from real roots, we get
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