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

Programs

Programs where the course is taught: