Design of Experiments for Engineers and Scientists

Design of Experiments for Engineers and Scientists

Author: Jiju Antony

Publisher: Elsevier

Published: 2014-02-22

Total Pages: 221

ISBN-13: 0080994199

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The tools and techniques used in Design of Experiments (DoE) have been proven successful in meeting the challenge of continuous improvement in many manufacturing organisations over the last two decades. However research has shown that application of this powerful technique in many companies is limited due to a lack of statistical knowledge required for its effective implementation.Although many books have been written on this subject, they are mainly by statisticians, for statisticians and not appropriate for engineers. Design of Experiments for Engineers and Scientists overcomes the problem of statistics by taking a unique approach using graphical tools. The same outcomes and conclusions are reached as through using statistical methods and readers will find the concepts in this book both familiar and easy to understand.This new edition includes a chapter on the role of DoE within Six Sigma methodology and also shows through the use of simple case studies its importance in the service industry. It is essential reading for engineers and scientists from all disciplines tackling all kinds of manufacturing, product and process quality problems and will be an ideal resource for students of this topic. - Written in non-statistical language, the book is an essential and accessible text for scientists and engineers who want to learn how to use DoE - Explains why teaching DoE techniques in the improvement phase of Six Sigma is an important part of problem solving methodology - New edition includes a full chapter on DoE for services as well as case studies illustrating its wider application in the service industry


Design of Experiments in Production Engineering

Design of Experiments in Production Engineering

Author: J. Paulo Davim

Publisher: Springer

Published: 2015-11-06

Total Pages: 201

ISBN-13: 3319238388

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This book covers design of experiments (DoE) applied in production engineering as a combination of manufacturing technology with applied management science. It presents recent research advances and applications of design experiments in production engineering and the chapters cover metal cutting tools, soft computing for modelling and optmization of machining, waterjet machining of high performance ceramics, among others.


Experimentation for Engineers

Experimentation for Engineers

Author: David Sweet

Publisher: Simon and Schuster

Published: 2023-03-21

Total Pages: 246

ISBN-13: 1638356904

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Optimize the performance of your systems with practical experiments used by engineers in the world’s most competitive industries. In Experimentation for Engineers: From A/B testing to Bayesian optimization you will learn how to: Design, run, and analyze an A/B test Break the "feedback loops" caused by periodic retraining of ML models Increase experimentation rate with multi-armed bandits Tune multiple parameters experimentally with Bayesian optimization Clearly define business metrics used for decision-making Identify and avoid the common pitfalls of experimentation Experimentation for Engineers: From A/B testing to Bayesian optimization is a toolbox of techniques for evaluating new features and fine-tuning parameters. You’ll start with a deep dive into methods like A/B testing, and then graduate to advanced techniques used to measure performance in industries such as finance and social media. Learn how to evaluate the changes you make to your system and ensure that your testing doesn’t undermine revenue or other business metrics. By the time you’re done, you’ll be able to seamlessly deploy experiments in production while avoiding common pitfalls. About the technology Does my software really work? Did my changes make things better or worse? Should I trade features for performance? Experimentation is the only way to answer questions like these. This unique book reveals sophisticated experimentation practices developed and proven in the world’s most competitive industries that will help you enhance machine learning systems, software applications, and quantitative trading solutions. About the book Experimentation for Engineers: From A/B testing to Bayesian optimization delivers a toolbox of processes for optimizing software systems. You’ll start by learning the limits of A/B testing, and then graduate to advanced experimentation strategies that take advantage of machine learning and probabilistic methods. The skills you’ll master in this practical guide will help you minimize the costs of experimentation and quickly reveal which approaches and features deliver the best business results. What's inside Design, run, and analyze an A/B test Break the “feedback loops” caused by periodic retraining of ML models Increase experimentation rate with multi-armed bandits Tune multiple parameters experimentally with Bayesian optimization About the reader For ML and software engineers looking to extract the most value from their systems. Examples in Python and NumPy. About the author David Sweet has worked as a quantitative trader at GETCO and a machine learning engineer at Instagram. He teaches in the AI and Data Science master's programs at Yeshiva University. Table of Contents 1 Optimizing systems by experiment 2 A/B testing: Evaluating a modification to your system 3 Multi-armed bandits: Maximizing business metrics while experimenting 4 Response surface methodology: Optimizing continuous parameters 5 Contextual bandits: Making targeted decisions 6 Bayesian optimization: Automating experimental optimization 7 Managing business metrics 8 Practical considerations


Experimental Design

Experimental Design

Author: Paul D. Berger

Publisher: Springer

Published: 2017-11-28

Total Pages: 644

ISBN-13: 3319645838

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This text introduces and provides instruction on the design and analysis of experiments for a broad audience. Formed by decades of teaching, consulting, and industrial experience in the Design of Experiments field, this new edition contains updated examples, exercises, and situations covering the science and engineering practice. This text minimizes the amount of mathematical detail, while still doing full justice to the mathematical rigor of the presentation and the precision of statements, making the text accessible for those who have little experience with design of experiments and who need some practical advice on using such designs to solve day-to-day problems. Additionally, an intuitive understanding of the principles is always emphasized, with helpful hints throughout.


Real Engineering Experiments

Real Engineering Experiments

Author: Anthony Tegtmeyer

Publisher: Sourcebooks, Inc.

Published: 2021-05-11

Total Pages: 239

ISBN-13: 164739581X

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STEAM-powered experiments in engineering for kids ages 8 to 12 Learn about the amazing world of engineering for kids and how it works together with science, technology, art, and math. Whether you're experimenting with structures, materials, mechanics, or electrons, this book offers step-by-step instructions and full-color pictures that help you answer questions like "what can we use magnetism for?" and "how do catapults work?" This guide to engineering for kids features: Engineering explained—Dive deep into what it means to be an engineer as you learn about the different types of engineers and how they approach challenges. Amazing experiments—Build a robot, make your own battery, clean polluted water, create a wind-powered car, and more using basic items you might already have at home. Beginner guidance—Find explanations for why each experiment works, as well as suggestions for taking them even further. Explore the amazing world of engineering for kids with these fun experiments that will get kids excited about learning.


World as Laboratory

World as Laboratory

Author: Rebecca Lemov

Publisher: Macmillan + ORM

Published: 2006-11-28

Total Pages: 378

ISBN-13: 0374707294

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Deeply researched, World as Laboratory tells a secret history that's not really a secret. The fruits of human engineering are all around us: advertising, polls, focus groups, the ubiquitous habit of "spin" practiced by marketers and politicians. What Rebecca Lemov cleverly traces for the first time is how the absurd, the practical, and the dangerous experiments of the human engineers of the first half of the twentieth century left their laboratories to become our day-to-day reality.


Experimentation in Software Engineering

Experimentation in Software Engineering

Author: Claes Wohlin

Publisher: Springer Science & Business Media

Published: 2012-06-16

Total Pages: 249

ISBN-13: 3642290442

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Like other sciences and engineering disciplines, software engineering requires a cycle of model building, experimentation, and learning. Experiments are valuable tools for all software engineers who are involved in evaluating and choosing between different methods, techniques, languages and tools. The purpose of Experimentation in Software Engineering is to introduce students, teachers, researchers, and practitioners to empirical studies in software engineering, using controlled experiments. The introduction to experimentation is provided through a process perspective, and the focus is on the steps that we have to go through to perform an experiment. The book is divided into three parts. The first part provides a background of theories and methods used in experimentation. Part II then devotes one chapter to each of the five experiment steps: scoping, planning, execution, analysis, and result presentation. Part III completes the presentation with two examples. Assignments and statistical material are provided in appendixes. Overall the book provides indispensable information regarding empirical studies in particular for experiments, but also for case studies, systematic literature reviews, and surveys. It is a revision of the authors’ book, which was published in 2000. In addition, substantial new material, e.g. concerning systematic literature reviews and case study research, is introduced. The book is self-contained and it is suitable as a course book in undergraduate or graduate studies where the need for empirical studies in software engineering is stressed. Exercises and assignments are included to combine the more theoretical material with practical aspects. Researchers will also benefit from the book, learning more about how to conduct empirical studies, and likewise practitioners may use it as a “cookbook” when evaluating new methods or techniques before implementing them in their organization.


Experimental Software Engineering Issues:

Experimental Software Engineering Issues:

Author: H.Dieter Rombach

Publisher: Springer Science & Business Media

Published: 1993-08-30

Total Pages: 294

ISBN-13: 9783540570929

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This book was written primarily for all those DTP users and programmers who want to keep up with the rapid development of electronic publishing, particular those who wish to develop new systems for the output of typefaces. In this volume, various formats are presented, their properties discussed and production requirements analyzed. Appendices provide readers additional information, largely on digital formats for typeface storage.