Hydrology Of Artificial And Controlled Experiments

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Hydrology of Artificial and Controlled Experiments

For the incisive tests of hydrological theory, manipulation experiments can create particular conditions, plan and define boundaries and inner structures, isolate individual mechanisms, and push systems beyond the range in a PhD timescale. The goals of this book are to stimulate the approach of manipulation in promoting watershed hydrological experimentation and to try to demonstrate that the controlled and artificial experiments are the promising way of useful and effective generation of tests of new theories. This book is organized on the basis of nine different manipulation types from six countries including field lysimeter, field runoff plot, field manipulated experimental basin, field artificial catchment, laboratory river segment, laboratory pedon (rock), laboratory lysimeter, laboratory hillslope, and phytotron artificial catchment.
Hydrology of Artificial and Controlled Experiments

For the incisive tests of hydrological theory, manipulation experiments can create particular conditions, plan and define boundaries and inner structures, isolate individual mechanisms, and push systems beyond the range in a PhD timescale. The goals of this book are to stimulate the approach of manipulation in promoting watershed hydrological experimentation and to try to demonstrate that the controlled and artificial experiments are the promising way of useful and effective generation of tests of new theories. This book is organized on the basis of nine different manipulation types from six countries including field lysimeter, field runoff plot, field manipulated experimental basin, field artificial catchment, laboratory river segment, laboratory pedon (rock), laboratory lysimeter, laboratory hillslope, and phytotron artificial catchment.
Trustworthy Online Controlled Experiments

Author: Ron Kohavi
language: en
Publisher: Cambridge University Press
Release Date: 2020-04-02
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.