Hypothesis test
A/B 测试（在线对照实验）
A/B 测试是一种随机对照实验，它同时向两组用户展示对照组（A）和处理组（B）的变体，以确定测量结果在它们之间是否存在显著差异。现代在线对照实验框架由 Ron Kohavi 及其同事于 21 世纪初在微软系统化，该框架建立在 R. A. Fisher 于 1935 年提出的经典随机化原则之上。它是网络产品开发、数字营销和实验平台中主要的因果推断工具。
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Method map
The neighbourhood of related methods — select a node to explore.
来源
- Kohavi, R., Tang, D., & Xu, Y. (2020). Trustworthy Online Controlled Experiments: A Practical Guide to A/B Testing. Cambridge University Press. ISBN: 9781108724265
- Deng, A., Xu, Y., Kohavi, R., & Walker, T. (2013). Improving the Sensitivity of Online Controlled Experiments by Utilizing Pre-Experiment Data. KDD '13. link ↗
如何引用本页
ScholarGate. (2026, June 1). A/B Test (Online Controlled Experiment). ScholarGate. https://scholargate.app/zh/experimental-design/ab-testing
Which method?
Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.
- 卡方独立性检验统计学↔ compare
- 独立样本t检验统计学↔ compare
- 多臂老虎机 (UCB, Thompson Sampling)实验设计↔ compare
- 随机对照试验 (RCT)实验设计↔ compare