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Computational Statistics with R

Module code: MTH791P

Credits: 15.0
Semester: SEM2

Contact: Dr Hugo Maruri-Aguilar

This module introduces modern methods of statistical inference for small samples, which use computational methods of analysis, rather than asymptotic theory. The techniques covered in the module include non-parametric tests, bootstrap, and cross-validation. Most of these methods are now used regularly in modern business, finance, and science. Finally, the module includes the implementation of all the proposed methods with the statistics software R.

Connected course(s): UDF DATA
Assessment: 100.0% Examination
Level: 7

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