Bootstrap confidence intervals for trilinear partial least squares regression

• Published in: Analytica chimica acta Vol. 544; no. 1; pp. 153 - 158
• Main Authors: Serneels, Sven, Van Espen, Pierre J.
• Format: Journal Article Conference Proceeding
• Language: English
• Published: Amsterdam Elsevier B.V 15.07.2005; Elsevier
• Subjects: Analytical chemistry; Bootstrap; Chemistry; Confidence interval; Exact sciences and technology; Prediction; Tri-PLS; Trilinear partial least squares regression; Uncertainty; Trilinear partial least squares regression; Bootstrap; Uncertainty; Tri-PLS; Prediction; Confidence interval; PLS regression; Simulation

The boostrap is a successful technique to obtain confidence limits for estimates where it is theoretically impossible to establish an exact expression thereunto. Trilinear partial least squares regression (tri-PLS) is an estimator for which this is the case; in the current paper we thus propose to a...