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A method for designing nonlinear univariate calibration

Forkman, Johannes (2008). A method for designing nonlinear univariate calibration. Technometrics. 50:2008:4, 479-486
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Official URL: http://dx.doi.org/10.1198/004017008000000127

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) 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.

Authors/Creators:Forkman, Johannes
Title:A method for designing nonlinear univariate calibration
Series/Journal:Technometrics (0040-1706)
Year of publishing :November 2008
Volume:50
Number:2008:4
Page range:479-486
Publisher:American Statistical Association
ISSN:0040-1706
Language:English
Additional Information:The original publication is available at American Statistical Association.
Publication Type:Journal article
Refereed:Yes
Article category:Scientific peer reviewed
Version:Accepted version
Full Text Status:Public
Subjects:Obsolete subject words > MATHEMATICS
Keywords:Dose-response, Four-parameter logistic function, Inverse prediction, Michaelis-Menten function, Nonlinear regression, Optimal design
URN:NBN:urn:nbn:se:slu:epsilon-1-142
Permanent URL:
http://urn.kb.se/resolve?urn=urn:nbn:se:slu:epsilon-1-142
Additional ID:
Type of IDID
DOI10.1198/004017008000000127
ID Code:3559
Department:(NL, NJ) > Dept. of Energy and Technology
Deposited By: Johannes Forkman
Deposited On:20 Feb 2009 00:00
Metadata Last Modified:02 Dec 2014 10:23

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