The modified values are then rounded with any one of the above rounding methods, the best ones being with stochastic or dithering methods: in this last case, the sum of "n" rounded numbers will still be a random variable with expected error zero but with an excellent constant standard deviation of formula_15, instead of diverging semi-quadratically when dithering isolated samples; and the overall average roundoff error deviation per rounded sample will be formula_16 that will converge hyperbolically to zero, faster than with the semi-hyperbolic convergence when dithering isolated samples.