Statistics Cookbook
Barebones introduction to statistical data analysis techniques, aimed at undergraduates doing research for the first time. This material in no way substitutes for a proper course, but hopefully provides enough to get started.
Contents
- Basic model fitting: just enough to get started with maximum likelihood methods for fitting model parameters, finding confidence intervals, evaluating goodness of fit, and comparing competing models.
Avoiding git conflicts
Before running git pull to update anything:
- Run
git statusto list any locally modified files. - For each modified file,
- if you want to keep your local changes,
- make a copy, e.g.
cp thisFile.ipynb thisFile_mine.ipynb;
- make a copy, e.g.
- run
git checkout -- thisFile.ipynb.
- if you want to keep your local changes,
Now it should be safe to git pull.
(Some) other resources
- Physics 366: graduate/advanced undergraduate course in statistical methods in astrophysics, mostly Bayesian analysis
- LSSTC Data Science Fellowship Program, especially sessions 4 and 10
Author
Adam Mantz. Any errors or unnecessary snarkiness is his fault.
License
All materials Copyright 2020 the authors.
Unless otherwise noted, all content is licensed under Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0).