Multiple-component radiation-measurement error models.

@article{Burr2006MultiplecomponentRE,
  title={Multiple-component radiation-measurement error models.},
  author={Tom L. Burr and Gracie Hemphill},
  journal={Applied radiation and isotopes : including data, instrumentation and methods for use in agriculture, industry and medicine},
  year={2006},
  volume={64 3},
  pages={379-85}
}
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.