Constructing a control chart using functional data
This study proposes a control chart based on functional data to detect anomalies and
estimate the normal output of industrial processes and services such as those related to the …
estimate the normal output of industrial processes and services such as those related to the …
[HTML][HTML] Bootstrap-LOCI data mining methodology for anomaly detection in buildings energy efficiency
An automated methodology is proposed to identify anomalies in buildings' HVAC systems,
through Local Correlation Integral (LOCI) algorithm, improved by Bootstrap to obtain a rule …
through Local Correlation Integral (LOCI) algorithm, improved by Bootstrap to obtain a rule …
Robust bootstrapped Mandel's h and k statistics for outlier detection in interlaboratory studies
This study proposes the use of the bootstrap methodology to estimate the distribution of the
Mandel's h and k statistics, commonly applied to identify laboratories that supply inconsistent …
Mandel's h and k statistics, commonly applied to identify laboratories that supply inconsistent …
[HTML][HTML] Functional extensions of Mandel's h and k statistics for outlier detection in interlaboratory studies
Functional data analysis (FDA) alternatives, based on the classical Mandel h and k statistics,
are proposed to identify the laboratories that supply inconsistent results in interlaboratory …
are proposed to identify the laboratories that supply inconsistent results in interlaboratory …
[PDF][PDF] Energy Reports
A Tobar, M Flores, S Castillo-Páez, S Naya… - 2023 - researchgate.net
abstract An automated methodology is proposed to identify anomalies in buildings' HVAC
systems, through Local Correlation Integral (LOCI) algorithm, improved by Bootstrap to …
systems, through Local Correlation Integral (LOCI) algorithm, improved by Bootstrap to …