Design of Experiments for Engineers and Scientists (Elsevier Insights) | 8.5 MB
Title: Interpretable Machine Learning for the Analysis, Design, Assessment, and Informed Decision Making for Civil Infrastructure
Author: 4<8=8AB@0B>@
Category: Nonfiction, Science & Nature, Technology, Engineering, Mechanical
Language: English | 210 Pages | ISBN: 0128240733
Description:
This third edition of Design of Experiments for Engineers and Scientists adds to the tried and trusted tools that were successful in so many engineering organizations with new coverage of design of experiments (DoE) in the service sector. Case studies are updated throughout, and new ones are added on dentistry, higher education, and utilities.Although many books have been written on DoE for statisticians, this book overcomes the challenges a wider audience faces in using statistics by using easy-to-read graphical tools. Readers will find the concepts in this book both familiar and easy to understand, and users will soon be able to apply them in their work or research. This classic book is essential reading for engineers and scientists from all disciplines tackling all kinds of product and process quality problems and will be an ideal resource for students of this topic. – Written in nonstatistical 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 two new chapters on DoE for services as well as case studies illustrating its wider application in the service industry
This third edition of Design of Experiments for Engineers and Scientists adds to the tried and trusted tools that were successful in so many engineering organizations with new coverage of design of experiments (DoE) in the service sector. Case studies are updated throughout, and new ones are added on dentistry, higher education, and utilities.Although many books have been written on DoE for statisticians, this book overcomes the challenges a wider audience faces in using statistics by using easy-to-read graphical tools. Readers will find the concepts in this book both familiar and easy to understand, and users will soon be able to apply them in their work or research. This classic book is essential reading for engineers and scientists from all disciplines tackling all kinds of product and process quality problems and will be an ideal resource for students of this topic. – Written in nonstatistical 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 two new chapters on DoE for services as well as case studies illustrating its wider application in the service industry
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