The numerical probabilistic approach to the processing and presentation of remote monitoring data

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The paper deals with a numerical probabilistic analysis as a method of processing and presentation of remote monitoring for the aggregation large amounts of data. For the aggregation we used histograms, polygons and splines. On the basis of aggregated data to identify relationships between the input and output characteristics are studied the theoretical and the practical aspects of regression modeling. On the basis of numerical examples we demonstrated the effi ciency and reliability of the proposed methods.

Numerical probabilistic analysis, remote monitoring, data processing, histogram aggregation, frequency polygon, spline, regression

Короткий адрес: https://sciup.org/146115143

IDR: 146115143   |   DOI: 10.17516/1999-494X-2016-9-7-960-971

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