Negative variance component – Chow/Liu [Software]
Dear "discutanten"!
Did you remember the Chow, Liu book, Chapter 7.3?
There is an in depth discussion of the possibility of σ2S becoming negative if estimated via ANOVA mean squares.
There is also a formula giving the probability for obtaining a negative estimate, which is (was?) available in bear, I think.
Ways out? Just to cite Chow and Liu (without the 'hat' above the σ2):
"To avoid negative estimates a typical approach is to consider the following estimator
The above estimators are known as restricted maximum likelihood (REML) estimators". End of citation.
In SAS a Proc MIXED call with subject as random should do that, I think. Will check it for the example later.
Did you remember the Chow, Liu book, Chapter 7.3?
There is an in depth discussion of the possibility of σ2S becoming negative if estimated via ANOVA mean squares.
There is also a formula giving the probability for obtaining a negative estimate, which is (was?) available in bear, I think.
Ways out? Just to cite Chow and Liu (without the 'hat' above the σ2):
"To avoid negative estimates a typical approach is to consider the following estimator
σ2S=max(0,σ2S)
σ2e=σ2e if MSinter≥MSintra
σ2e=σ2 if MSinter<MSintra
where σ2 = (SSinter+SSintra)/(2*(n1+n2)
The above estimators are known as restricted maximum likelihood (REML) estimators". End of citation.
In SAS a Proc MIXED call with subject as random should do that, I think. Will check it for the example later.
—
Regards,
Detlew
Regards,
Detlew
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