Deep Uncertainty Boot Strap Methods

 ‘Bootstrapping is a numerical random sampling technique of data. Various descriptive statistics of the distribution of data such as the mean, median, mode and variance can be bootstrapped. Bootstrapping statistics permit the analysis of any distribution and the drawing of inferences.

References:

Adapted from Horinov, S., et al. Measurement uncertainty evaluation in FaroArm-machine using the bootstrap method. The 11th International Conference on Multimedia Information Technology and Applications (MITA 2015). June 30-July 2 2015. Tashkent, Uzbekistan.