Proper rounding of the measurement results under normality assumptions
Gejza Wimmer, Viktor Witkovský, Tomas Duby · Measurement Science and Technology · 2000
We introduce a new method for rounding of measured values and their uncertainties. We define a new concept called `ε-properly rounding' and describe exactly the probability properties of the rounded measured values and their `ε-proper confidence intervals'. We propose general rules for proper rounding of the measurement results under normality assumptions. Finally we examine the probabilistic properties of the standard methods of rounding given in the Guide to the Expression of Uncertainty in Measurement of the ISO (1995).