Trustworthy Online Controlled Experiments: A Practical Guide to A/B Testing (英國原版)
暫譯: 可信賴的線上控制實驗：A/B 測試實用指南 (英國原版)
Kohavi, Ron, Tang, Diane, Xu, Ya
- 出版商: Cambridge
- 出版日期: 2020-04-02
- 售價: $1,700
- 貴賓價: 9.5 折 $1,615
- 語言: 英文
- 頁數: 200
- 裝訂: Quality Paper - also called trade paper
- ISBN: 1108724264
- ISBN-13: 9781108724265
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相關分類:
Data-mining
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相關翻譯:
關鍵迭代：可信賴的線上對照實驗 (簡中版)
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商品描述
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.
商品描述(中文翻譯)
獲取數據很簡單；獲取可信的數據卻很困難。這本由 Google、LinkedIn 和 Microsoft 的實驗領導者撰寫的實用指南將教你如何利用可信的在線控制實驗（或 A/B 測試）來加速創新。基於這些公司每年進行超過 20,000 次控制實驗的實際經驗，作者分享了範例、陷阱和建議，幫助學生和行業專業人士入門實驗，並深入探討希望改善數據驅動決策方式的從業者的高級主題。學習如何：- 使用科學方法通過控制實驗來評估假設 - 定義關鍵指標，理想情況下還有整體評估標準（Overall Evaluation Criterion） - 測試結果的可信度並提醒實驗者注意違反假設的情況 - 建立一個可擴展的平台，將實驗的邊際成本降低到接近零 - 避免如攜帶效應（carryover effects）和 Twyman 法則等陷阱 - 理解統計問題在實踐中的表現。
