Research article - Peer-reviewed, 2008
A Method for Designing Nonlinear Univariate Calibration
Forkman, JohannesAbstract
A method is proposed for designing nonlinear univariate calibration of measuring instruments. The problem addressed is how to select a set of design points (standards or calibrators) to minimize the errors in the inverse predictions. The Curve parameters are assumed to vary randomly between calibrations, with known expected value and known covariance matrix. A design criterion is suggested for analytical procedures, according to which the coefficient of variation and the area under the precision profile are minimized.Keywords
Dose-response; Four-parameter logistic function; Inverse prediction; Michaelis-Menten function; Nonlinear regression; Optimal designPublished in
Technometrics2008, volume: 50, number: 4, pages: 479-486
Publisher: American Statistical Association
Authors' information
Swedish University of Agricultural Sciences, Department of Energy and Technology
UKÄ Subject classification
Probability Theory and Statistics
Publication Identifiers
DOI: https://doi.org/10.1198/004017008000000127
URI (permanent link to this page)
https://res.slu.se/id/publ/24683