Prediction Analysis Based on Logistic Regression Modelling (CROSBI ID 73602)
Prilog u knjizi | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Sanchez-Varela, Zaloa
engleski
Prediction Analysis Based on Logistic Regression Modelling
The chapter aims to show an application of logistic regression modelling for prediction analysis in the offshore industry. The different variables shown in dynamic positioning incident reports are analysed and processed using logistic regression modelling. The results of the models are then analysed, showing which data influence the loss of positioning and human errors and how the model can be interpreted. Afterwards, and based on the obtained models, operational limits can be proposed to reduce downtimes and thus improve the safety of the operations and the productivity of the offshore operations when using dynamic positioning systems.
regression modelling ; dynamic positioning ; offshore ; drilling ; human error
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Podaci o prilogu
objavljeno
10.5772/intechopen.103090
Podaci o knjizi
Advances in Principal Component Analysis [Working Title]
Márquez, F. P. G.
London : Delhi: IntechOpen
2022.
978-1-80355-766-3