Practical Design of Experiments - Doe Made Easy
Nonfiction, Science & Nature, Technology, Engineering
| Author: | Colin Hardwick | ISBN: | 9780244181901 |
| Publisher: | Lulu.com | Publication: | May 2, 2019 |
| Imprint: | Lulu.com | Language: | English |
| Author: | Colin Hardwick |
| ISBN: | 9780244181901 |
| Publisher: | Lulu.com |
| Publication: | May 2, 2019 |
| Imprint: | Lulu.com |
| Language: | English |
The tools and technique used in the Design of Experiments (DOE) have been used around the world to solve seemingly impossible problems in science and engineering. The majority of engineers and scientists have had little exposure to this important technique and this book has been written with the authors 30 years experience in practical design of experiments aimed squarely at practising engineers and scientists rather than statisticians and mathematicians. Practical Design of Experiments takes a graphical approach using a software tool called Minitab. The author concentrates on each step of using the technique with explanations along the way of each decision point. Readers will find this guide both practical and useful, with copious screenshots of the software in use and clear precise explanations. The emphasis is on quantifying the effects of a number of variables before optimising them.
The tools and technique used in the Design of Experiments (DOE) have been used around the world to solve seemingly impossible problems in science and engineering. The majority of engineers and scientists have had little exposure to this important technique and this book has been written with the authors 30 years experience in practical design of experiments aimed squarely at practising engineers and scientists rather than statisticians and mathematicians. Practical Design of Experiments takes a graphical approach using a software tool called Minitab. The author concentrates on each step of using the technique with explanations along the way of each decision point. Readers will find this guide both practical and useful, with copious screenshots of the software in use and clear precise explanations. The emphasis is on quantifying the effects of a number of variables before optimising them.
