Teaching GuideTerm Escola Politécnica de Enxeñaría de Ferrol |
Master Universitario Erasmus Mundus en Sostibilidade e Industria 4.0 aplicada ao Sector Marítimo |
Subjects |
Statistical Models for Marine Technology Innovation |
Contents |
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Identifying Data | 2023/24 | |||||||||||||
Subject | Statistical Models for Marine Technology Innovation | Code | 730542016 | |||||||||||
Study programme |
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Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
Official Master's Degree | 2nd four-month period |
First | Optional | 6 | ||||||||||
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Topic | Sub-topic |
Multivariate data description and inference. |
Exploratory analysis of multivariate data. Statistical inference of multivariate data. Introduction to R statistical software. |
Elements of unsupervised learning. |
Principal component analysis (PCA). Unsupervised clustering or classification methods. |
Elements of supervised learning. |
Multivariate linear regression models. |
Selection, regularization of linear models and dimension reduction methods. |
Ridge regression. Least absolute shrinkage and selection operator (LASSO). Principal component regression. Partial least squares (PLS) regression. |
Classification methods. |
Introduction. Supervised classification methods. |
Statistical Process Control (SPC). |
Control charts of variables and attributes. Hotelling's T2 control chart. Regression adjustment. Interpretation of out-of-control signals. |
Case studies to be solved using R statistical software. |
Case studies in the field of naval and maritime engineering. |
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