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Prediction Analysis Based on Logistic Regression Modelling

In: Advances in Principal Component Analysis

Author

Listed:
  • Zaloa Sanchez-Varela

Abstract

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.

Suggested Citation

  • Zaloa Sanchez-Varela, 2022. "Prediction Analysis Based on Logistic Regression Modelling," Chapters, in: Fausto Pedro Garcia Marquez (ed.), Advances in Principal Component Analysis, IntechOpen.
    • Handle: RePEc:ito:pchaps:256849
    DOI: 10.5772/intechopen.103090
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    File URL: https://www.intechopen.com/chapters/81414
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    More about this item

    Keywords

    regression modelling; dynamic positioning; offshore; drilling; human error;
    All these keywords.

    JEL classification:

    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General

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