Course of Applied Statistics
About the course
This course is part of the doctorate program in Statistical Engineering at National University of Engineering. This course covers statistical models useful for applied work in different areas of study. It covers a range of models starting from generalized linear model, generalized additive model, survival analysis, functional data analysis and other hierarchical models.
Syllabus
The contents of the course is described here: syllabus.pdf.
Lessons
- Introduction
- Generalized linear models
- Generalized linear mixed models
- Generalized additive models
- Gaussian process regression