Precision (statistics)
Reciprocal of the statistical variance / From Wikipedia, the free encyclopedia
For broader coverage of this topic, see Accuracy and precision.
In statistics, the precision matrix or concentration matrix is the matrix inverse of the covariance matrix or dispersion matrix, .[1][2][3] For univariate distributions, the precision matrix degenerates into a scalar precision, defined as the reciprocal of the variance, .[4]
Other summary statistics of statistical dispersion also called precision (or imprecision[5][6]) include the reciprocal of the standard deviation, ;[3] the standard deviation itself and the relative standard deviation;[7] as well as the standard error[8] and the confidence interval (or its half-width, the margin of error).[9]