AnthonyLloyd

It's a quite hand wavy central limit theory for large N or close to normal distribution:

http://davidmlane.com/hyperstat/A106993.html

It's a fixed memory size but gets released when you move into the recursive part. Increasing the fixed part will give you a better starting estimate.

See here for quantiles: https://stackoverflow.com/questions/1058813/on-line-iterator...

The P^2 algorithm used in creme is interesting. For the median it would give a 2 sided median deviation. Maybe this could be changed slightly to be symmetric and give Median and MAD. I'll look into.

Median Absolute Deviation

Discussed in the previous post: http://anthonylloyd.github.io/blog/2016/10/21/MAD-Outliers

It's roughly the range around the median where half the sample is within (since you can do 2 sided MAD also).

Happy to answer questions if anything is not clear or discuss.

This is it for me.

Large projects in OO often end up as mutable monoliths which become harder and harder to work with. New features sometimes require large painful and scary changes. Hacks are irresistible. Of course you need refactoring tools because you have to change many things in many files.

OO promised modularity but the languages never delivered because of their unreasonable design.

Highly reasonable, concise and refactorable code is the answer to complex systems.

Awful. Report & publicly out them.

Any reason F# is not in the list?