Incertitudes et mesures
Other Statistics
2020-07-15 v1
Abstract
Educational guide focused on the statistical treatment of measurement uncertainties. The conditions of application of current practices are detailed and precised: mean values, central limit theorem, linear regression. The last two chapters are devoted to an introduction to the Bayesian inference and a series of application cases: machine failure date, elimination of a background noise, linear adjustment with elimination of outliers.
Cite
@article{arxiv.2007.06701,
title = {Incertitudes et mesures},
author = {Romain Legrand},
journal= {arXiv preprint arXiv:2007.06701},
year = {2020}
}
Comments
in French