Take a sneak peek at the new NIST.gov and let us know what you think!
(Please note: some content may not be complete on the beta site.).
NIST Authors in Bold
|Author(s):||Chih-Ming Wang; Hariharan K. Iyer;|
|Title:||On Multiple-Method Studies|
|Published:||October 04, 2010|
|Abstract:||In this paper we review statistical models that describe measurements from a multiple-method study such as in the development of a reference material. We also review requirements for the so-called GUM compliance as this appears to be an important criterion for choosing a model and a method for assigning a value to a measurand of interest, and calculating its uncertainty. For each modeling approach, we identify groups of competing methods and evaluate their status with respect to their statistical characteristics and GUM compliance.|
|Pages:||pp. 642 - 645|
|Keywords:||Bias, GUM,statistical inference,uncertainty|
|Research Areas:||Statistics, Measurement Solutions|