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Unread 29-06-2015, 17:20
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Re: "standard error" of OPR values


I think you missed my point entirely.

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Originally Posted by Citrus Dad View Post
The standard errors for the OPR values can be computed...
Yes, they can be computed, but that doesn't mean they are statistically valid. They are not, because the data does not conform to the necessary assumptions.

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...but they are in fact quite large relative to the parameter values.
Yes they are, but they are also nearly all the same value... which is obviously incorrect... and a result of assumptions which the data does not meet.

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the statistical precision of the OPR values are really quite poor because there are so few observations, which are in fact not independent.
Lack of independence is only one of the assumptions which the data do not meet.

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Rather than ignoring the SEs because they show how poor the OPR estimators are performing...
They are not being ignored "because they show how poor the OPR estimators are performing"; they are not being reported because they are invalid and misleading.

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the SEs should be reported to show how poorly the estimators perform for everyone's consideration.
There are better metrics to report to show how poorly the estimators perform.



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