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

Description: Trustworthy Online Controlled Experiments by Ron Kohavi, Diane Tang, Ya Xu Estimated delivery 3-12 business days Format Paperback Condition Brand New Description Getting numbers is easy; getting trustworthy numbers is hard. From experimentation leaders at Amazon, Google, LinkedIn, and Microsoft, this guide to accelerating innovation using A/B tests includes practical examples, pitfalls, and advice for students and industry professionals, plus deeper dives into advanced topics for experienced practitioners. Publisher Description 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 Twymans law • Understand how statistical issues play out in practice. Author Biography Ron Kohavi is a Technical Fellow and corporate VP of Microsofts Analysis and Experimentation, and was previously director of data mining and personalization at Amazon. He received his Ph.D. in Computer Science from Stanford University. His papers have over 40,000 citations and three of them are in the top 1,000 most-cited papers in Computer Science. Diane Tang is a Google Fellow, with expertise in large-scale data analysis and infrastructure, online controlled experiments, and ads systems. She has an A.B. from Harvard and an M.S./Ph.D. from Stanford University, with patents and publications in mobile networking, information visualization, experiment methodology, data infrastructure, data mining, and large data. Ya Xu heads Data Science and Experimentation at LinkedIn. She has published several papers on experimentation and is a frequent speaker at top-tier conferences and universities. She previously worked at Microsoft and received her Ph.D. in Statistics from Stanford University. Details ISBN 1108724264 ISBN-13 9781108724265 Title Trustworthy Online Controlled Experiments Author Ron Kohavi, Diane Tang, Ya Xu Format Paperback Year 2020 Pages 288 Publisher Cambridge University Press GE_Item_ID:129152401; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer's risk. We cannot take responsibility for items which are lost or damaged in transit. For purchases where a shipping charge was paid, there will be no refund of the original shipping charge. Additional Questions If you have any questions please feel free to Contact Us. Categories Baby Books Electronics Fashion Games Health & Beauty Home, Garden & Pets Movies Music Sports & Outdoors Toys

Price: 50.4 USD

Location: Fairfield, Ohio

End Time: 2024-12-17T04:53:07.000Z

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

Item Specifics

Restocking Fee: No

Return shipping will be paid by: Buyer

All returns accepted: Returns Accepted

Item must be returned within: 30 Days

Refund will be given as: Money Back

ISBN-13: 9781108724265

Book Title: Trustworthy Online Controlled Experiments

Number of Pages: 288 Pages

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

Language: English

Publisher: Cambridge University Press

Subject: Web / Social Media, Databases / Data Mining, Web / User-Generated Content

Item Height: 0.6 in

Publication Year: 2020

Type: Textbook

Item Weight: 14.1 Oz

Item Length: 8.9 in

Subject Area: Computers

Author: Diane Tang, Ya Xu, Ron Kohavi

Item Width: 6 in

Format: Trade Paperback

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