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• W2543673325 abstract "In this thesis we show how to use nonparametric regression techniques to develop monitoring systems for industrial machinery. Since data sets are often very big and monitoring has to be done online we present two different approaches to speed up computational time of the nonparametric methods. Both approaches are compared regarding run-time and approximation error and their properties are illustrated in a simulation study. We apply our methodology to real data from an industrial supply engineering machine." @default.
• W2543673325 created "2016-11-04" @default.
• W2543673325 creator A5090429813 @default.
• W2543673325 date "2014-01-30" @default.
• W2543673325 modified "2023-09-24" @default.
• W2543673325 title "Statistical analysis of industrial processes using fast nonparametric regression techniques" @default.
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• W2543673325 doi "https://doi.org/10.18452/14212" @default.
• W2543673325 hasPublicationYear "2014" @default.
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