 Its cornerstone is the calculation of probability density functions for sampling statistics.This can be performed rigorously for random variables that are obtainable as transformations of Gaussian variables, leading to exact confidence intervals.In regression analysis and least squares problems, the standard error of parameter estimates is readily available, which can be expanded into a confidence interval.