To assess the uncertainty of derived final results from a least-squares procedure
one can investigate the sensitivity
of output data for errors in the input data by means of this calculation. One performs
the calculations many times with perturbed input data and studies the relation between
the changes (perturbations) in the input data and the changes in the output data.
The perturbations are preferably generated using random numbers with a distribution
function chosen to mimic the distribution of uncertainties in the primary results.
PAC, 1981, 53, 1805
(Assignment and presentation of uncertainties of the numerical results of thermodynamic
on page 1823
IUPAC. Compendium of Chemical Terminology, 2nd ed. (the "Gold Book"). Compiled by
A. D. McNaught and A. Wilkinson. Blackwell Scientific Publications, Oxford (1997).
XML on-line corrected version: http://goldbook.iupac.org (2006-) created by M. Nic,
J. Jirat, B. Kosata; updates compiled by A. Jenkins. ISBN 0-9678550-9-8. https://doi.org/10.1351/goldbook