Hello
I’m having trouble figuring out what Add+Mult is with regard to residual error model.
When I look at the model text for Mix Ratio, then that seems to be the additive + multiplicative error model:
observe(CObs = C + CEps * (1 + C * CMixRatio))
Here I clearly have an additive component and a multiplicative component.
What is Add+Mult then?
observe(CObs = C + CEps * sqrt(1 + C^2 * (CMultStdev/sigma())^2))
I was first thinking that sqrt and ^2 was simply to make sure to have a positive number, but it has massive impact on the fit of my model with add+mult being far better. So there must be something in the math I don’t quite understand. That is why I need help and I would like to fully understand the Add+Mult residual error model.
I’m using NLME 1.3, if that makes any difference.
Best regards
Bill