Multiple-component radiation-measurement error models

被引：8
|
作者：
Burr, TL [1 ]
Hemphill, GS [1 ]
机构：
[1] Los Alamos Natl Lab, Stat Sci Grp, Los Alamos, NM 87545 USA
来源：
APPLIED RADIATION AND ISOTOPES | 2006年 / 64卷 / 03期
关键词：
radiation-measurement error models; item-specific bias; analysis of variance;
D O I：
10.1016/j.apradiso.2005.09.002
中图分类号：
O61 [无机化学];
学科分类号：
070301 ; 081704 ;
摘要：
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. (c) 2005 Elsevier Ltd. All rights reserved.
引用
收藏
页码：379 / 385
页数：7
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