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Research article - Peer-reviewed, 2008

A Method for Designing Nonlinear Univariate Calibration

Forkman, Johannes


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.


Dose-response; Four-parameter logistic function; Inverse prediction; Michaelis-Menten function; Nonlinear regression; Optimal design

Published in

2008, 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


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