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Study on Statistical Out lier Det ection and Labelling

International Journal of Automation and computing 2020年第6期17卷 788-811页

作者： Pawel D.Domanski Institute of Control and Computation Engineering Warsaw University of TechnologyWarsaw 00-665Poland

Outliers accompany control engineers in their real life *** trial reality is much richer than eleme ntary linear,quadratic,Gaussian *** appear due to various and varying,often unknown,*** meet research interest in statistical and regression analysis and in data *** are a lot of interesting algorithms and approaches to outlier detection,labelling,filtering and finally ***,their impact on control systems has not been found sufficient attention in *** influence is frequently unnoticed,ignored or not *** work focuses on the subject of outlier detection and labelling in the cont ext of control system performance *** ted statistical data-driven approaches are analyzed,as t hey can be easily implemented with limited a priori *** study consists of a simulation study followed by the analysis of real control *** nt generation mechanisms are Simula ted,like overlapping Gaussian processes,symmetric and asymmetric,artificially shifted points and fat-tailed *** observations are confronted with industrial control loops *** work concludes with a practical procedure,which should help practitioners in dealing with outliers in control engineering temporal data.

关键词： Outlier detection control loop quality statistical analysis robust estimation heavy tails.

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A New Statistical Tool： Scalar Score Function

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Computer Technology and Application 2011年第2期2卷 109-116页

作者： Zdenek Fabian Institute of Computer Science Academy of Sciences CR Pod Vod6renskou vY2i 2 Prague 182 00 Czech Republic

The basic inference function of mathematical statistics, the score function, is a vector function. The author has introduced the scalar score, a scalar inference function, which reflects main features of a continuous probability distribution and which is simple. Its simplicity makes it possible to introduce new relevant numerical characteristics of continuous distributions. The t-mean and score variance are descriptions of distributions without the drawbacks of the mean and variance, which may not exist even in cases of regular distributions. Their sample counterparts appear to be alternative descriptions of the observed data. The scalar score itself appears to be a new mathematical tool, which could be used in solving traditional statistical problems for models far from the normal one, skewed and heavy-tailed.

关键词： Statistics inference function data characteristics point estimates heavy tails.

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