arxiv
PublishedJune 18, 2026 at 4:00 AM
—neutral
Ensuring Trustworthy Online A/B Testing: Addressing Five Key Questions on CUPED
Publisher summary· verbatim
arXiv:2606.18750v1 Announce Type: cross Abstract: A/B testing has become the gold standard for data-driven decision-making in large-scale online experimentation, providing critical guidance for feature launch, pricing optimization, and user experience enhancement. To maximize statistical sensitivity
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Originally published on arxiv ↗