Trustworthy online controlled experiments : a practical guide to A/B testing
Kohavi, Ron
Trustworthy online controlled experiments : a practical guide to A/B testing - Cambridge : Cambridge University Press, 2020 - xviii, 271 p. ; ill. (some col.), 23 cm.
Includes bibliographical references and index.
Getting numbers is easy; getting numbers you can trust is hard. This practical guide by experimentation leaders at Google, LinkedIn, and Microsoft will teach you how to accelerate innovation using trustworthy online controlled experiments, or A/B tests. Based on practical experiences at companies that each runs more than 20,000 controlled experiments a year, the authors share examples, pitfalls, and advice for students and industry professionals getting started with experiments, plus deeper dives into advanced topics for experienced practitioners who want to improve the way they and their organizations make data-driven decisions.
9781108724265
User-generated content
Marketing
Social Media
Confidence interval
Delta method
Guardrail metrics
Institutional memory
Null hypothesis
Online controlled experiments
Simpson's paradox
Treatment effect
Web beacon
302.231 / KOH
Trustworthy online controlled experiments : a practical guide to A/B testing - Cambridge : Cambridge University Press, 2020 - xviii, 271 p. ; ill. (some col.), 23 cm.
Includes bibliographical references and index.
Getting numbers is easy; getting numbers you can trust is hard. This practical guide by experimentation leaders at Google, LinkedIn, and Microsoft will teach you how to accelerate innovation using trustworthy online controlled experiments, or A/B tests. Based on practical experiences at companies that each runs more than 20,000 controlled experiments a year, the authors share examples, pitfalls, and advice for students and industry professionals getting started with experiments, plus deeper dives into advanced topics for experienced practitioners who want to improve the way they and their organizations make data-driven decisions.
9781108724265
User-generated content
Marketing
Social Media
Confidence interval
Delta method
Guardrail metrics
Institutional memory
Null hypothesis
Online controlled experiments
Simpson's paradox
Treatment effect
Web beacon
302.231 / KOH