IDENTIFICATION AND REMOVAL OF OUTLIERS IN DATA SETS

摘要

The invention relates to a selectively-adaptive data processor which is designed to receive a plurality of sets of values, each set being assigned to a particular sample and containing both a data value of the data series to be processed and additional values that allow more precise assessment of this data value or of the data series. The data processor comprises a filter processor designed to selectively process a data series based on the sets received and issue this as a smoothed version, with a data value of an implausible set being replaced by an internally determined data value prior to data smoothing. Implausible sets are considered those sets for which the data value deviates strongly from the preceding curve of the data series or for which the data value is classified as being a data value of too low quality based on the additional values of the set.