Towards an advanced estimation of Measurement Uncertainty using Monte-Carlo Methods- case study kinematic TLS Observation Process

A standard reference in uncertainty modeling is the "Guide to the Expression of Uncertainty in Measurement (GUM)". GUM groups the occurring uncertain quantities into "Type A" and "Type B". Uncertainties of "Type A" are determined with the classical statistical methods, while "Type B" is subject to other uncertainties which are obtained by experience and knowledge about an instrument or a measurement process. Both types of uncertainty can have random and systematic error components. In many cases, the uncertainty of output quantities may computed by assuming that the distribution represented by the result of measurement and its associated standard uncertainty is a normal distribution. This assumption may be unjustified and the uncertainty of the output quantities so determined may be incorrect.