Elements of an Approach to the Assessment of Random Uncertainty in Transient Measurements

Abstract

This paper presents an approach to the assessment of random uncertainty in transient measurements based on the modeling of a time series that is representative of the variable of interest. The recommended approach employs conventional regression techniques to estimate all parameters that appear in a model for a given time series. Assessments of random uncertainty are based on the residual deviations associated with an adequate model for a given time series. The approach also incorporates a treatment of the dynamic response of a measurement system as it pertains to random uncertainty in transient measurements.