Beyond the basics (mean, variance, distributions, simple test, regression, ...) statistics looks like a huge mess -to me- .(adsbygoogle = window.adsbygoogle || []).push({});

Any method has typically 10 variants and can be 'colored' in 10 flavors,

not to mention technicalities like missing data handling, binary data, ... and people's names

I need to think a long time before I understand the main point of a method (say the bartlett test in a PCA).

I never feel confident for "the details and the options".

Many things never get translated in simple words.

Mathematical descriptions are not (easily) available or are (practically) unreadable.

Sometimes I have the feeling that a "huge monte carlo" point of view could help to simplify the understanding.

For example, a statistical test could be implemented by a "monte carlo" method. If computers had a huge computing power, recourse to specific tests (hard to develop, get and understand) would be useless.

At least, this could be a language to express a "statistical problem".

Could some of you give me some related ideas, papers or web sites?

I am equally interrested by nicely-written material, organized references, unification attempts.

I would like to see the forest, not the trees.

**Physics Forums | Science Articles, Homework Help, Discussion**

Dismiss Notice

Join Physics Forums Today!

The friendliest, high quality science and math community on the planet! Everyone who loves science is here!

The friendliest, high quality science and math community on the planet! Everyone who loves science is here!

# Statistics looks so difficult, no way to simplify ?

**Physics Forums | Science Articles, Homework Help, Discussion**