MARC details
000 -LEADER |
fixed length control field |
02304 a2200241 4500 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
fixed length control field |
240531b |||||||| |||| 00| 0 eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
9781108724265 |
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
Classification number |
302.231 KOH |
100 ## - MAIN ENTRY--PERSONAL NAME |
Personal name |
Kohavi, Ron |
245 ## - TITLE STATEMENT |
Title |
Trustworthy online controlled experiments: a practical guide to A/B testing |
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
Place of publication, distribution, etc |
New York: |
Name of publisher, distributor, etc |
Cambridge University Press, |
Date of publication, distribution, etc |
2023. |
300 ## - PHYSICAL DESCRIPTION |
Extent |
xviii, 271p.: |
Other physical details |
ill.; pbk.: |
Dimensions |
22cm. |
520 ## - SUMMARY, ETC. |
Summary, etc |
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.<br/><br/>Dives into over twenty advanced topics, including ramp-up procedures, computations of standard-deviations, and instrumentation issues<br/>Addresses practical issues not covered in theoretical statistics, such as violations of independent assumptions<br/>Additional online material is featured on the book's website<br/><br/>https://www.cambridge.org/in/universitypress/subjects/computer-science/knowledge-management-databases-and-data-mining/trustworthy-online-controlled-experiments-practical-guide-b-testing?format=PB |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Statistics |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Guardrail Metrics |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Instrumentation |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Scaling Experiment Analyses |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Overall Evaluation Criterion |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Variance Estimation |
700 ## - ADDED ENTRY--PERSONAL NAME |
Personal name |
Tang, Diane |
Relator term |
Co-author |
700 ## - ADDED ENTRY--PERSONAL NAME |
Personal name |
Xu, Ya |
Relator term |
Co-author |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Item type |
Books |
Source of classification or shelving scheme |
Dewey Decimal Classification |