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The 'Statistical laboratory 2' course at the Institute of Mathematics (University of Wrocław).

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All scripts/projects I've done during the 'Statistical laboratory 2' course conducted by Piotr Sobczyk, PhD at the Faculty of Mathematics and Computer Science, (University of Wrocław).

GitHub license made-with-RStudion

Sewaqu / Public domain

Course syllabus

  1. Nonlinear regression, scalling.
  2. Multinomial regression.
  3. Diagnostics of regression models.
  4. Examination of multicollinearity beetween terms, variance inflation factor.
  5. Interactions beetween features.
  6. Sub-model choice - AIC, BIC, Cp-Mallows criterions.
  7. Ridge and Lasso.
  8. Time series analysis.

Implementation

We used R during the course.

License

Distributed under the GNU GPLv3 license. See LICENSE for more information.

Contributing

I believe any contributions to this project do not make sense, however feel free to use my code.

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The 'Statistical laboratory 2' course at the Institute of Mathematics (University of Wrocław).

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