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Trustworthy Online Controlled Experiments: A Practical Guide to A/B Testing

Ron Kohavi
4.40/5 (481 ratings)
Read Now Download Now
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 run 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 practitioners who want to improve the way they make data-driven decisions. Learn how to * Use the scientific method to evaluate hypotheses using controlled experiments * Define key metrics and ideally an Overall Evaluation Criterion * Test for trustworthiness of the results and alert experimenters to violated assumptions * Build a scalable platform that lowers the marginal cost of experiments close to zero * Avoid pitfalls like carryover effects and Twyman's law * Understand how statistical issues play out in practice
Format:
Pages:
271 pages
Publication:
Publisher:
Edition:
1
Language:
ISBN10:
1108724264
ISBN13:
9781108724265
kindle Asin:
B0845Y3DJV

Trustworthy Online Controlled Experiments: A Practical Guide to A/B Testing

Ron Kohavi
4.40/5 (481 ratings)
Read Download
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 run 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 practitioners who want to improve the way they make data-driven decisions. Learn how to * Use the scientific method to evaluate hypotheses using controlled experiments * Define key metrics and ideally an Overall Evaluation Criterion * Test for trustworthiness of the results and alert experimenters to violated assumptions * Build a scalable platform that lowers the marginal cost of experiments close to zero * Avoid pitfalls like carryover effects and Twyman's law * Understand how statistical issues play out in practice
Format:
Pages:
271 pages
Publication:
Publisher:
Edition:
1
Language:
ISBN10:
1108724264
ISBN13:
9781108724265
kindle Asin:
B0845Y3DJV

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