@@ -7,23 +7,25 @@ The focus of this assignment is to use extreme value analysis to analyze the flo
## Overview of material
-`README.md` (this file)
-`Report.md`, primary file in which you write your answers to questions.
-`Analysis.ipynb`, the notebook in which you will perform the EVA.
-`Report.md`, primary file in which you write your answers to questions.
- a file `turis.csv` containing the data for this assignment.
## Details
For this assignment, consider the following:
- everyone should view and discuss the data together to underestand it's characteristics
- you could split up the programming tasks for BM, POT and return levels, but make sure everyone knows the details, as both are part of the exam material
- POT requires a threshold, which makes it different than BM in a key way, so don't forget to check that if you work on BM
- you could split up the programming tasks for BM, POT and return levels, but make sure everyone knows how both approaches work, as both are part of the exam material
- POT requires a threshold, which makes it different than BM in a key way, so don't forget to check that in particular if you work on BM
For the report:
- You should include figures to support your answers.
- Question 5 will have the heaviest weight in the grading (~2-3x that of the other questions).
- Question 1 has the least weight and is mostly used to highlight the nuances discussed in other questions.
We will only be grading responses in the Markdown file, not the notebook. Otherwise, you know the GA drill by now, so let's get started with the notebook!
We will only be grading responses in the Markdown Report file, not the notebook.
You know the GA drill by now, so let's get started with the notebook!
# Group assignment 2.7 Report: Extreme Value Analysis
*[CEGM1000 MUDE](http://mude.citg.tudelft.nl/).*
*[CEGM1000 MUDE](http://mude.citg.tudelft.nl/): January 10, 2025.*
**YOUR GROUP NAME HERE**
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@@ -11,9 +11,7 @@ Before writing your answers, consider this:
## Questions
**Question 1**
_Provide a short description of your data set._
**1. Provide a short description of your data set.**
_Your answer here. Include qualitative and quantitative information; do not duplicate the information from the README or notebook, but rather the observations you make in Task 1, and anything you think is relevant for the EVA. Don't include a figure of the time series, since that is requested in a later question_
