Determining A Distribution Function

Abstract

Teaching herein include methods for determining a statistical distribution function and for determining parameters for the distribution function, with which a time series of measurement data can be displayed. An example includes: determining a first probability for a predetermined quantity of statistical distribution functions for each function that the measurement data has a distribution corresponding to this distribution function; determining a second probability that the measurement data originates from a temporally stationary source; determining, for the predetermined quantity of distribution functions for each distribution function, an evaluation variable for the respective distribution function from the assigned first probability, a temporal changeability of the distribution function, and the second probability; using the evaluation variable to select a distribution function from the quantity of distribution functions as a suitable distribution function for the measurement data; and determining parameters for the display of the measurement data for the selected distribution function.

Dependencies are inferred from the claim text.