Degree | Type | Year | Semester |
---|---|---|---|
2503852 Applied Statistics | OB | 3 | 2 |
It is assumed that the student has acquired the competencies of the Statistics Inference, Probability Calculation, and Stochastic Processes, and that he has a good level and practice with the R programming.
Learn how to generate samples with a computer and apply it to the analysis of complex systems, the optimization of processes and the techniques of remorting in inference.
Simulation: Simulation of random variables based on uniform law. Simulation of discrete events. Simulation with the simmer package. Analysis of the output, reduction of the variance. Generation of uniform variables.
Permutational tests: Tests for two samples. Paired test of data. Correlation test. Advanced examples
Bootstrap and other remotencing methods: Basics. Standard and bias error estimates. Parametric Bootstrap. Non-parametric Bootstrap. Methods for calculating trusted intervals. Examples of application (generalized linear and linear models, hypothesis tests, temporary series, ...).
Remuestreig for automatic learning: Bagging. Boosting
Teaching will combine classroom lessons by teachers and practical work for students with a computer.
In all aspects of teaching / learning activities, the best efforts will be made by
teachers and students to avoid language and situations that can be interpreted as sexist. To
To achieve continuous improvement in this subject, everyone should collaborate in highlighting them
Deviations that you observe regarding this objective.
Annotation: Within the schedule set by the centre or degree programme, 15 minutes of one class will be reserved for students to evaluate their lecturers and their courses or modules through questionnaires.
Title | Hours | ECTS | Learning Outcomes |
---|---|---|---|
Type: Directed | |||
Classroom lectures (theoretical and practical) | 48 | 1.92 | |
Type: Autonomous | |||
Assignments | 66 | 2.64 | |
Personal study of the subject | 32 | 1.28 |
Title | Weighting | Hours | ECTS | Learning Outcomes |
---|---|---|---|---|
Exam of Resampling | 37.5% | 2 | 0.08 | 2, 3, 5, 13, 10, 8, 9 |
Exam of Simulation | 37.5% | 2 | 0.08 | 2, 3, 5, 13, 10, 8, 9 |
Resampling assignments hand in | 12.5% | 0 | 0 | 7, 1, 3, 4, 5, 12, 10, 11, 8, 9, 14, 6 |
Simulation Assignments hand in | 12.5% | 0 | 0 | 7, 1, 3, 4, 5, 12, 10, 11, 8, 9, 14, 6 |
During the course the relevant installation instructions for the software to be used will be given, at the appropriate time.