31 May
2021
31 May
'21
6:43 p.m.
‐‐‐‐‐‐‐ Original Message ‐‐‐‐‐‐‐ On Monday, May 31, 2021 8:51 AM, Greg Newby <gbnewby@pglaf.org> wrote: ...
I came across a fascinating approach to this, called bootstrapping or the bootstrap method. I learned about this an EdX data science course offered by Berkeley.
The method is described in the course's free online textbook: https://inferentialthinking.com/chapters/13/2/Bootstrap.html
"Any method based on sampling has the possibility of being off. The beauty of methods based on random sampling is that we can quantify how often they are likely to be off." indeed :)