This book gives a systematic exposition of China's logistics development to the English-reading community. The ultimate goal of the book is to present a timely portrayal of China's logistics market growth and the evolution status of China's logistics industry. Being the fourth volume of the "Contemporary Logistics in China", the book strives to offer in-depth analysis on some hot issues and dilemmas amid the on going dynamic and multi-faceted development and also a source of reference for interested readers in academic and professional fields.

This book gives a systematic exposition of China's logistics development to the English-reading community. The ultimate goal of the book is to present a timely portrayal of China's logistics market growth and the evolution status of China's logistics industry. Being the fourth volume of the "Contemporary Logistics in China", the book strives to offer in-depth analysis on some hot issues and dilemmas amid the on going dynamic and multi-faceted development and also a source of reference for interested readers in academic and professional fields.

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.