Pregled bibliografske jedinice broj: 1206433
Prediction Analysis Based on Logistic Regression Modelling
Prediction Analysis Based on Logistic Regression Modelling // Advances in Principal Component Analysis [Working Title] / Márquez, F. P. G. (ur.).
London : Delhi: IntechOpen, 2022. 8, 23 doi:10.5772/intechopen.103090
CROSBI ID: 1206433 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Prediction Analysis Based on Logistic Regression Modelling
Autori
Sanchez-Varela, Zaloa
Vrsta, podvrsta i kategorija rada
Poglavlja u knjigama, znanstveni
Knjiga
Advances in Principal Component Analysis [Working Title]
Urednik/ci
Márquez, F. P. G.
Izdavač
IntechOpen
Grad
London : Delhi
Godina
2022
Raspon stranica
ISBN
978-1-80355-766-3
Ključne riječi
regression modelling ; dynamic positioning ; offshore ; drilling ; human error
Sažetak
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.
Izvorni jezik
Engleski
Znanstvena područja
Tehnologija prometa i transport
