The Use of Least-Squares for XPS Peak Parameters Estimation: Part 2. Univariate Hypotheses Testing

Gervais Leclerc, Jean-Jacques Pireaux

Research output: Contribution to journalArticle

Abstract

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.
Original languageEnglish
Pages (from-to)165-178
Number of pages14
JournalJournal of Electron Spectroscopy and Related Phenomena
Volume71
Issue number2
DOIs
Publication statusPublished - 1995

Fingerprint

Dive into the research topics of 'The Use of Least-Squares for XPS Peak Parameters Estimation: Part 2. Univariate Hypotheses Testing'. Together they form a unique fingerprint.

Cite this