Abstract

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) in order to minimize the errors in the inverse predictions. The method utilizes knowledge not only about the expected values of the curve parameters, but also about the 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

Optimal design; Nonlinear regression; Inverse prediction; Dose-Response; Analytical procedure; Immunoassay

Published in

Research report (Centre of Biostochastics)
2007, number: 2007:5
Publisher: Centre of Biostochastics

SLU Authors

• Forkman, Johannes

  • Department of Energy and Technology, Swedish University of Agricultural Sciences
    

Permanent link to this page (URI)

https://res.slu.se/id/publ/16125