Corpus ID: 88516880

A Discrepancy-Based Design for A/B Testing Experiments

@article{Li2019ADD,
  title={A Discrepancy-Based Design for A/B Testing Experiments},
  author={Yiou Li and Xiao Huang and Lulu Kang},
  journal={arXiv: Methodology},
  year={2019}
}
  • Yiou Li, Xiao Huang, Lulu Kang
  • Published 2019
  • Computer Science, Mathematics
  • arXiv: Methodology
The aim of this paper is to introduce a new design of experiment method for A/B tests in order to balance the covariate information in all treatment groups. A/B tests (or "A/B/n tests") refer to the experiments and the corresponding inference on the treatment effect(s) of a two-level or multi-level controllable experimental factor. The common practice is to use a randomized design and perform hypothesis tests on the estimates. However, such estimation and inference are not always accurate when… Expand

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