Multiple-component radiation-measurement error models.

T L Burr; G S Hemphill

doi:10.1016/j.apradiso.2005.09.002

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Multiple-component radiation-measurement error models.

T L Burr·G S Hemphill

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Abstract

Measurement error modeling and assessment are crucial to any assay method. Realistic error models prioritize future efforts to reduce key error components and provide a way to estimate total ("random" and "systematic") measurement error. This paper describes multiple-component error models for radiation-based assay, gives example applications, and describes strategies for choosing and then fitting error models.

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Data Interpretation, Statistical Models, Chemical Models, Statistical Radiation Dosage Radioisotopes Radiometry Reproducibility of Results Sensitivity and Specificity Evaluation Study Journal Article

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T L Burr, G S Hemphill. 2005-11-16. Multiple-component radiation-measurement error models.. https://doi.org/10.1016/j.apradiso.2005.09.002

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