I am using type=sp(pow)(time) for an AR(1) model with random times and I am getting two parameter estimates: the residual variance s^2 and correlation coef p
For my example s^2=8.8771 and p=.04977
Now my R matrix is a 2x2 matrix [{8.8771, 3.4493},{3.4493,8.8771}]
I can see why the diagonal elements which are the variances are 8.8771 but I dont understand where the 3.4493 is coming from. Is it the covariance between to adjacent observations?
ANOVA, or Analysis Of Variance, is used to compare the averages or means of two or more populations to better understand how they differ. Watch this tutorial for more.