Understaning the negative sampling error

sampling_error = (parameter - statistic)

sampling_error is + when statistic < parameter
sampling_error is - when statistic > parameter

But,
what is the meaning of negative sampling error? Kindly elaborate on the difference in the inference of negative v/s positive sampling errors.