The present activity deals with a comprehensive investigation of many sources of outliers. The practical field of fitting experimental data sets with regression models is selected as discussion case and the online detection of gross errors in raw data sets of a large-scale refinery process is adopted as final example.
A Comprehensive Investigation of Outlier Sources for Models Fitting Experimental Data
MANENTI, FLAVIO
2010-01-01
Abstract
The present activity deals with a comprehensive investigation of many sources of outliers. The practical field of fitting experimental data sets with regression models is selected as discussion case and the online detection of gross errors in raw data sets of a large-scale refinery process is adopted as final example.File in questo prodotto:
| File | Dimensione | Formato | |
|---|---|---|---|
|
AIChE 2010 Template_V5.pdf
Accesso riservato
:
Pre-Print (o Pre-Refereeing)
Dimensione
143 kB
Formato
Adobe PDF
|
143 kB | Adobe PDF | Visualizza/Apri |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
