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Trustworthy online controlled experiments

a practical guide to A/B testing
Verfasser: Kohavi, Ron <1965->

(DE-588)173191053
Verfasser: Tang, Diane <1974->

(DE-588)1208769642
Verfasser: Xu, Ya <1982->

(DE-588)1208769685
978-1-108-72426-5
Schlagwörter: Social Media

; Online-Marketing

; Datenanalyse

; Experiment

; Entscheidungsfindung

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Mathematik

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https://gateway-bayern.de/BV047021640

Letzte Änderung: 20.05.2022

Titel:	Trustworthy online controlled experiments
Untertitel:	a practical guide to A/B testing
URL:	http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=03242910...
Erläuterung :	Inhaltsverzeichnis
Von:	Ron Kohavi (Microsoft), Diane Tang (Google), Ya Xu (LinkedIn)
ISBN:	978-1-108-72426-5
Preis/Einband:	Paperback
Erscheinungsort:	Cambridge, United Kingdom ; New York, NY, USA ; Port Melbourne, VIC, Australia ; New Delhi, India ; Singapore
Verlag:	Cambridge University Press
Erscheinungsjahr:	2020
DOI:	10.1017/9781108653985
Umfang:	xviii, 271 Seiten
Details:	Illustrationen, Diagramme
Fußnote :	Includes bibliographical references and index
Fußnote :	Hier auch später erschienene, unveränderte Nachdrucke
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."
Sprache:	eng
LoC-Notation:	HM741
RVK-Notation:	SK 840
TUM-Notation:	DAT 610
TUM-Notation:	SOZ 720
Andere Ausgabe:	Erscheint auch als
_Bemerkung:	Online-Ausgabe, EPUB
_ISBN:	978-1-108-65398-5
Angaben zum Inhalt/Datenträger :	Einführung
Thema (Schlagwort):	Social Media; Online-Marketing; Datenanalyse; Experiment; Entscheidungsfindung

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Trustworthy online controlled experiments; a practical guide to A/B testing

B3Kat (1/1)

Trustworthy online controlled experiments