  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.
