Abstract
This paper analyzes the NOx levels measured by a control station near a power plant by using techniques for functional data. First, we test for differences between the levels on working and non working days. Second, we obtain several location estimators and confidence sets of the center of the functional distribution. Third, we provide scale estimators and confidence sets of the dispersion of the functional distribution. Finally, a distance based procedure provides a criterion to determinate the presence of outlying observations, which allows to detect relevant NOx levels.
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Febrero, M., Galeano, P. & González-Manteiga, W. A functional analysis of NOx levels: location and scale estimation and outlier detection. Computational Statistics 22, 411–427 (2007). https://doi.org/10.1007/s00180-007-0048-x
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DOI: https://doi.org/10.1007/s00180-007-0048-x