Incertitudes et mesures
@article{Legrand2020IncertitudesEM, title={Incertitudes et mesures}, author={Romain Legrand}, journal={arXiv: Other Statistics}, year={2020} }
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.
Figures from this paper
References
SHOWING 1-2 OF 2 REFERENCES