Trustworthy online controlled experiments

• Verfasst von: Kohavi, Ron [VerfasserIn]
• Verfasst von: Tang, Diane [VerfasserIn]
• Verfasst von: Xu, Ya [VerfasserIn]
• Titel: Trustworthy online controlled experiments
• Titelzusatz: a practical guide to A/B testing
• Verf.angabe: Ron Kohavi, Diane Tang, Ya Xu
• Verlagsort: Cambridge, United Kingdom
• Verlag: Cambridge University Press
• Jahr: 2020
• Umfang: xviii, 271 Seiten
• Illustrationen: Illustrationen
• Fussnoten: Includes bibliographical references and index ; Hier auch später erschienene, unveränderte Nachdrucke
• ISBN: 978-1-108-72426-5
• DOI: doi:10.1017/9781108653985
• Schlagwörter: (s)Social Media / (s)Online-Marketing / (s)Datenanalyse / (s)Experiment / (s)Entscheidungsfindung
• Dokumenttyp: Einführung
• Sprache: eng
• Bibliogr. Hinweis: Erscheint auch als : Online-Ausgabe: Kohavi, Ron, 1965 - : Trustworthy online controlled experiments. - Cambridge : Cambridge University Press, 2020. - 1 Online-Ressource (xviii, 271 Seiten)
• RVK-Notation: ST 233
• K10plus-PPN: 1681737574

Abstract

"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."