I have several dozen field experiments for which I'm fitting the model:
yield ~ genotype (fixed) + y (random) + ar1(x):ar1(y)
where x,y indicate field coordinates.
When I make a scatterplot ( across all experiments) of the residual variance versus the variance component for y, I notice a striking pattern--either the residual variance is large and the variance component of y is small, or the opposite happens.does this suggest the model has too many terms and is trying to over fit the data?
Kevin
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Received on Fri Nov 19 2008 - 17:48:22 EST
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