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desireatem
Pyrite | Level 9

I am interested in computing the simulated error for the parameter t in the regression.  SAS gives me the regression error ot t which is StdEr I wish to know if sas has an easy way to get it.

THanks

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Accepted Solutions
SteveDenham
Jade | Level 19

Would restating the simulation error as sqrt(sum(beta_i - beta_bar)/(N-1)) be correct?

I would feel more comfortable with sqrt(sum((beta_i - beta_bar)^2)/(N-1)), so that it is now essentially the standard deviation of the beta_i estimates.

Steve Denham

Message was edited by: Steve Denham

View solution in original post

4 REPLIES 4
Reeza
Super User

Is your formula above correct?

desireatem wrote:

The simulated error is sqrt (1/N-1(SUM(bete_i-bar(beta)).

desireatem
Pyrite | Level 9

It might not be correctly type. However do you know how to compute the simulated standard error. This is the correct simulation error: SQRT [1/N-1 *SUM(Est(beta_i- bar(beta))] where N=1000 number of replicates.

SteveDenham
Jade | Level 19

Would restating the simulation error as sqrt(sum(beta_i - beta_bar)/(N-1)) be correct?

I would feel more comfortable with sqrt(sum((beta_i - beta_bar)^2)/(N-1)), so that it is now essentially the standard deviation of the beta_i estimates.

Steve Denham

Message was edited by: Steve Denham

Reeza
Super User

If I'm interpreting this correctly,

SUM(bete_i-bar(beta))=0 always, assuming bar(beta) is average of beta.

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