A statistically sound formulation of variance propagation for correlated parameters is introduced. Two general purpose statistical tests (the Wald test and the likelihood ratio test) based on this formulation are then presented. It is shown how one can (a) test single or multiple hypotheses about regression parameters, (b) test the validity of constraints on the parameters, (c) decide whether one peakshape or background is better than another, and (d) determine the number of peaks required by the data.
|Number of pages||14|
|Journal||Journal of Electron Spectroscopy and Related Phenomena|
|Publication status||Published - 1995|