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| | Ask HN: Resources about math behind A/B testing | |
207 points by alexmolas 54 days ago | hide | past | favorite | 55 comments
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| | I've been learning more about AB testing during the last months. I've read almost all the work by Evan Miller, and I've enjoyed it a lot. However, I'd like a more structured approach to the topic since sometimes I feel I'm missing some basics. I've good math knowledge and pretty decent stats foundations. Which are your favourite books/papers in this topic? |
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What gets people are incorrect procedures. To get a sense of all the ways in which an experiment can go wrong, I'd recommend reading more traditional texts on experimental design, survey research, etc.
- Donald Wheeler's Understanding Variation should be mandatory reading for almost everyone working professionally.
- Deming's Some Theory of Sampling is really good and covers more ground than the title lets on.
- Deming's Sample Design in Business Research I remember being formative for me also, although it was a while since I read it.
- Efron and Tibshirani's Introduction to the Bootstrap gives an intuitive sense of some experimental errors from a different perspective.
I know there's one book covering survey design I really liked but I forget which one it was. Sorry!