Sequential Probability Ratio Test (SPRT) explained: A paradigm for fast moving a/b testings скачать в хорошем качестве

Sequential Probability Ratio Test (SPRT) explained: A paradigm for fast moving a/b testings

Join Michael, a senior data scientist at StatSig, as he delves into the Sequential Probability Ratio Test (SPRT) alongside Derek. They explore how SPRT compares the likelihood of alternative hypotheses against null hypotheses, diverging from traditional T Test and Bayesian frameworks. Learn about the nuances of sequential testing, how SPRT can make quicker decisions, and its implementation in both one-sided and two-sided test scenarios. Michael also discusses the practical uses of SPRT, particularly in enhancing performance and reliability testing, and compares it to other statistical methods like CUPED and ANOVA. 00:00 Introduction to Michael and the New Feature 00:06 Understanding SPRT: Sequential Probability Ratio Test 00:47 Sequential Testing Explained 01:44 Diving into the Details of SPRT 03:37 Advantages of SPRT Over Traditional Methods 06:19 One-Sided vs. Two-Sided SPRT 09:04 Implementing SPRT at StatSig 10:13 Technical Adjustments and Validations 12:23 SPRT in the Realm of Statistics 14:32 Choosing the Right Method for Experimentation 17:16 Conclusion and Final Thoughts