arXiv · 2007.06701
Incertitudes et mesures
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.
Explore related subjects
Keep this discovery
Explore connections, maps & timelines
Romain Legrand. 2020-07-10. Incertitudes et mesures. https://arxiv.org/abs/2007.06701
Cite the original work for its findings. Save a collection to share your selection of sources.