@MemberOfSpecies "type 0" error is when not even wrong enough to be considered an error.
So "type error" is a false positive, "type I error" is a false negative, and "type II error" is when a variable has the wrong type, right?
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@DeityOfReligion And type III is false high imaginary part, type IV is false low imaginary part?
End of conversation
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@MemberOfSpecies Type error is when one uses the methods of Csiszár in settings where large deviations are more appropriate.Thanks. Twitter will use this to make your timeline better. UndoUndo
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