Webmasters Stack Exchange is a question and answer site for pro webmasters. Join them; it only takes a minute:

Sign up
Here's how it works:
  1. Anybody can ask a question
  2. Anybody can answer
  3. The best answers are voted up and rise to the top

I am looking for theoretical resources (books, tutorials, etc.) to learn about making sound statistical inferences given (plenty of) multivariate website conversion data.

I'm after the math involved, and cannot find any good non-marketing stuff on the web. The sort of questions I want to answer: how much impact does a single variable (e.g. color of text) have? what is the correlation between variables? what type of distribution is used for modelling (Gaussian, Binomial, etc.)? When using statistics to analyze results - what should be considered as a random variable - the web-page element that gets different variations or the binary conversion-or-no-conversion outcome of an impression?

There's plenty of information about different website optimization testing methods and their benefits\pitfalls, plenty of information about multivariate statistics in general, do you guys know of resources that discuss statistics in this specific context of website optimization?

share|improve this question

closed as off topic by danlefree Nov 29 '11 at 4:35

Questions on Webmasters Stack Exchange are expected to relate to webmastering within the scope defined by the community. Consider editing the question or leaving comments for improvement if you believe the question can be reworded to fit within the scope. Read more about reopening questions here.If this question can be reworded to fit the rules in the help center, please edit the question.

I wonder if at least some of this might be a better fit at stats.se site. You're digging deeper into the actual math theory than tends to be covered here. You might think about splitting some parts off. – Su' Nov 25 '11 at 11:05
Thanks a bunch :) – corkjack Nov 26 '11 at 9:21
Confirmed question already asked at CrossValidated SE – danlefree Nov 29 '11 at 4:35