Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1877297 | Applied Radiation and Isotopes | 2006 | 7 Pages |
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.
Keywords
Related Topics
Physical Sciences and Engineering
Physics and Astronomy
Radiation
Authors
T.L. Burr, G.S. Hemphill,