Nonparametric and Computational Methods
Objectives
It is intended that students acquire knowledge, skills and competences that allow them to:
- test the randomness of a sample;
- assess the fit of a distribution model
- compare the lifetime of elements from different groups
- use resampling methods to improve the accuracy of statistical inference
General characterization
Code
12020
Credits
4.0
Responsible teacher
Frederico Almeida Gião Gonçalves Caeiro
Hours
Weekly - 3
Total - 42
Teaching language
Português
Prerequisites
None.
Bibliography
Gibbons, J.D. and Chakraborti, S. (2011). Nonparametric Statistical Inference, 5th Ed. CRC Press.
Teaching method
b-learning classes.
Evaluation method
In this course, attendance is not required.
The assessment is based on an exam that requires knowledge of the studied methodologies.
Subject matter
1 – Fundamental Results
2 - Tests of Randomness
3 - Visual Analysis of Goodness of Fit
4- Tests of Goodness of Fit
5 - Basic Methods for Survival Analysis
6 - Resampling Methods