|aTrustworthy online controlled experiments : a practical guide to A/B testing
250
N
N
$a3
260
N
N
$aCambridge; New York$bCambridge University Press$c2020
300
N
N
$a245
505
N
N
$a1. Introduction and motivation
2. Running and analyzing experiments: an end-to-end example
3. Twyman's law and experimentation trustworthiness
4. Experimentation platform and culture
5. Speed matters: an end-to-end case study
6. Organizational metrics
7. Metrics for experimentation and the Overall Evaluation Criterion (OEC)
8. Institutional memory and aeta-analysis
9. Ethics in controlled experiments
10. Complementary techniques
11. Observational causal studies
12. Client-side experiments
13. Instrumentation
14. Choosing a randomization
15. Ramping experiment exposure: trading off speed, quality, and risk
16. Scaling experiment analyses
17. The statistics behind online controlled experiments
18. Variance estimation and improved sensitivity: pitfalls and solutions
19. The A/A test
20. Triggering for improved sensitivity; 21. Guardrail metrics
22. Leakage and interference between variants
23. Measuring long-term treatment effects.
650
$aSocial media$aComputer networks -- Social aspects
700
N
N
|aDiane Tang,|aYa Xu
ข้อมูลบรรณานุกรม
ประเภททรัพยากรสารสนเทศ (Type of Information Resource) :
หนังสือทั่วไป
สถานที่จัดเก็บ (Collection) :
ชั้นหนังสือทั่วไป
เลขเรียกหนังสือ (Call No.) :
302.231 R773T 2020
ชื่อเรื่อง (Title) :
Trustworthy online controlled experiments : a practical guide to A/B testing
ผู้แต่ง (Author) :
Kohavi, Ron
ปีที่พิมพ์ (Date of Publication) :
2020
ครั้งที่พิมพ์ (Edition) :
3
สถานที่พิมพ์ (Place of Publication) :
Cambridge; New York
สำนักพิมพ์ (Publisher) :
Cambridge University Press
จำนวนหน้า (Extent) :
245
สารบัญ (Contents) :
1. Introduction and motivation
2. Running and analyzing experiments: an end-to-end example
3. Twyman's law and experimentation trustworthiness
4. Experimentation platform and culture
5. Speed matters: an end-to-end case study
6. Organizational metrics
7. Metrics for experimentation and the Overall Evaluation Criterion (OEC)
8. Institutional memory and aeta-analysis
9. Ethics in controlled experiments
10. Complementary techniques
11. Observational causal studies
12. Client-side experiments
13. Instrumentation
14. Choosing a randomization
15. Ramping experiment exposure: trading off speed, quality, and risk
16. Scaling experiment analyses
17. The statistics behind online controlled experiments
18. Variance estimation and improved sensitivity: pitfalls and solutions
19. The A/A test
20. Triggering for improved sensitivity; 21. Guardrail metrics
22. Leakage and interference between variants
23. Measuring long-term treatment effects.