Module code: MTH791U
Credits: 15.0
Semester: SEM2
Contact: Dr Hugo Maruri-Aguilar
Prerequisite: Before taking this module you must take MTH5120
This module introduces modern methods of statistical inference for small samples, which use computational methods of analysis, rather than asymptotic theory. Some of these methods such as permutation tests and bootstrapping, are now used regularly in modern business, finance and science. The techniques covered in the module are implemented with the statistics package R.
Connected course(s): UDF DATA
Assessment: 100.0% Examination
Level: 7
