Differences

This shows you the differences between two versions of the page.

--- data_analysis:ab_test [2021/06/10 23:23] – prgram
+++ data_analysis:ab_test [2025/07/07 14:12] (current) – external edit 127.0.0.1
@@ Line 1: / Line 1: @@
-====== ab test ======
+====== A/B test ======
+AB 테스트 추천 도서 : [[https://www.amazon.com/Trustworthy-Online-Controlled-Experiments-Practical/dp/1108724264|Trustworthy Online Controlled Experiments: A Practical Guide to A/B Testing]] [[https://coupa.ng/b7Omnt|쿠팡]]
+통계적 지식 뿐 아니라 실제 적용에서 고민해야할 문제들에 대한 상세한 설명이 있다.
 [[data_analysis:convergence_testing]]
@@ Line 12: / Line 16: @@
 https://is.muni.cz/th/wt0tu/Humaj-thesis.pdf
 https://brunch.co.kr/@gimmesilver/15
-https://cdn2.hubspot.net/hubfs/310840/VWO_SmartStats_technical_whitepaper.pdf
+[[https://cdn2.hubspot.net/hubfs/310840/VWO_SmartStats_technical_whitepaper.pdf|VWO_SmartStats_technical_whitepaper]]
-Sample size calculation for two independent Groups
-https://www.researchgate.net/publication/287927836_Sample_Size_Calculation_for_Two_Independent_Groups_A_Useful_Rule_of_Thumb
+[[https://www.researchgate.net/publication/287927836_Sample_Size_Calculation_for_Two_Independent_Groups_A_Useful_Rule_of_Thumb|Sample size calculation for two independent Groups]]
 https://www.evanmiller.org/ab-testing/
+MAB
+http://sanghyukchun.github.io/96/
+https://kw94.tistory.com/49
+https://sumniya.tistory.com/9
+===== 실행순서 ====
+  * 가설 : 인터뷰, idea, 기존자료 분석
+  * 실험설계 : control/treatment, 지표, bayesian/frequentist
+    * Random unit : user/session/page
+    * Target unit : 전체 / segment
+    * Size : sample, traffic 분배
+    * How long : 학습효과
+  * 실행 : 모니터링. 오류, 다른 feature들이 떨어지는지, 예상치 못하게 효율이 떨어지는지 (cf. 가드레일 metric)
+  * 분석 : traffic 분배 정합성, 샘플수, 다른 segments의 특성, 다른 지표, Bot은 없는지
+  * 결정 : 통계적vs실질적 유의도, A/A test->검증
 {{tag>data_analysis 실험 experiment ABtest}}