Precision (statistics)

Reciprocal of the statistical variance / From Wikipedia, the free encyclopedia

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]