A statistical data screening procedure

J. Højstrup

    Research output: Contribution to journalJournal articleResearchpeer-review

    Abstract

    A statistical method for automatic quality control of measurement data with distributions close to Gaussian is presented. For each data point a prediction is made, based on the mean, variance and point-to-point correlation of the time series. The predicted value is compared with the actual value and if the difference between the two is 'large' then that data point is either marked as an outlier or replaced by the forecast value. Four different prediction methods are tested and, using the best one of these, the method is tested using artificial and real turbulence data.
    Original languageEnglish
    JournalMeasurement Science and Technology
    Volume4
    Issue number2
    Pages (from-to)153-157
    ISSN0957-0233
    DOIs
    Publication statusPublished - 1993

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