Nyssen, E., Jacquet, W., & Aykroyd, R. G. (Ed.) (2014). A statistical testing framework for evaluating the quality of measurement processes. Journal of Applied Statistics, 41, 652-659. http://www.tandfonline.com/doi/abs/10.1080/02664763.2013.847069

@article{bd9c3c486249475b886f1f339b311f62,
title = "A statistical testing framework for evaluating the quality of measurement processes",
abstract = "In this paper we address the evaluation of measurement process quality. We mainly focus on the evaluation procedure, as far as it is based on the numerical outcomes for the measurement of a single physical quantity. We challenge the approach where the 'exact' value of the observed quantity is compared with the error interval obtained from the measurements under test and we propose a procedure where reference measurements are used as 'gold standard'. To this purpose, we designed a specific t-test procedure, explained here. We also describe and discuss a numerical simulation experiment demonstrating the behaviour of our procedure.",
keywords = "measurement, evaluation, Student, t-test, hypothesis testing, interval estimation",
author = "Edgard Nyssen and Wolfgang Jacquet and Aykroyd, {Robert G.}",
note = "Robert G. Aykroyd",
year = "2014",
language = "English",
volume = "41",
pages = "652--659",
journal = "Journal of Applied Statistics",
issn = "0266-4763",
publisher = "Routledge",
}