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An Iterative Calibration Curve Procedure
Author(s) -
Clifford H. Spiegelman
Publication year - 1984
Publication title -
journal of research of the national bureau of standards
Language(s) - Uncategorized
Resource type - Journals
eISSN - 2376-5259
pISSN - 0160-1741
DOI - 10.6028/jres.089.010
Subject(s) - calibration , computer science , confidence interval , interval (graph theory) , calibration curve , basis (linear algebra) , statistics , test (biology) , algorithm , mathematics , paleontology , geometry , combinatorics , detection limit , biology
Calibration curves are an important part of many measurement processes. The user of a fitted calibration curve must know its precision and accuracy. These are determined in a timely fashion using the data iteratively. This paper gives a method that divides the data into training and test groups. The test group is iteratively checked to see that a prechosen nominal confidence interval probability of coverage is met. If on the basis of this check the calibration experiment is completed, the nominal probability level is shown to still be valid.

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