Trustworthy Online Controlled Experiments
A Practical Guide to A/B Testing
Ron Kohavi|Diane Tang|Ya Xu
The book serves as a comprehensive guide to designing, implementing, and interpreting A/B tests, providing readers with the statistical foundations and practical insights needed to run controlled experiments on the web effectively. It covers topics such as experiment pitfalls, analysis techniques, and case studies to help practitioners make data-informed decisions and improve online services through rigorous experimentation.
See full summary
