EViews.com

The C vector is an object in your workfile. Its the little icon with a beta symbol in it, called "C". You can double click on it to open it up and modify.

Could you create an identically structured workfile, but fill it with random numbers, then post that? It seems that the problem is not with the data itself, just with the structure of the data.

Correct, you can not create an auto-updating series / formula based upon a series proc, such as the HPF.

The context menus of objects are generally the same as the main window context menu....

Not sure I follow exactly, but I think this is what you want:

Not quite sure how you managed that. Could you post the workfile prior to the page contract, and then tell us exactly what you did?

If you want to delete them, you can use the Page Contract tool to remove them from the workfile.

If you just want to remove them from the sample, you can use if statements in your sample condition to remove them.

No it isn't.

Please make sure you post in the correct forum in the future

Works fine for me.

You might want to ensure that your copy of EViews 6 is up to date.

As I said above, I think you need to have a deeper understanding of MLE before you can understand how to estimate MLE in EViews. I can't possibly tell you which variable should be "z". Do you even know if the particular likelihood function this specific example is estimating is the particu...

The particular likelihood function that the example is estimating has the error term's variance as a function of Z (if you look at equation 32.1). Hence the LogL object has the variance as a function of Z.

beta, scale and alpha are coefficient vectors in the workfile. They're just vectors that store parameters. You can create them, just as the manual says, by typing "coef(3) beta" in the EViews command window. "Z", as mentioned in the manual, is a series in the workfile. Perhaps be...

You're going to have to be way more specific than that.

What is the likelihood function you're trying to maximise? What is the data you're trying to use? What are the parameters you're trying to estimate?

What is beta, alpha and scale?

@obsrange - returns number of observations in workfile range.
@obssmpl - returns number of observations in current sample.