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Douglas C. Montgomery 作者

John Wiley & Sons

译者

2004-12-9 出版日期

660 页数

GBP 126.00 价格

Hardcover

丛书系列

9780471487357 图书编码

Design and Analysis of Experiments 在线电子书图书标签: 统计实验 DOE 方法论教科书工程 experiment Methodology

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Design and Analysis of Experiments 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Design and Analysis of Experiments 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024

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I only got B+ for this course~

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The power of classic! For all people working in science and engineering.

评分☆☆☆☆☆

The power of classic! For all people working in science and engineering.

评分☆☆☆☆☆

I only got B+ for this course~

评分☆☆☆☆☆

The power of classic! For all people working in science and engineering.

Design and Analysis of Experiments 在线电子书著者简介

Douglas C. Montgomery 著名统计学家,亚利桑那州立大学工业与管理系统工程教授。美国统计学会、工业工程学会、质量控制学会会士。他出版了多部影响深远的统计学著作，发表了大量广为引用的论文。他还应IBM、可口可乐、波音、摩托罗拉等著名公司邀请开展合作项目，在半导体、医疗设备、生物技术等领域深入地进行统计方法的实践研究和理论探讨。

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Design and Analysis of Experiments 在线电子书图书描述

Now in its 6th edition, this bestselling professional reference has helped over 100,000 engineers and scientists with the success of their experiments. Douglas Montgomery arms readers with the most effective approach for learning how to design, conduct, and analyze experiments that optimize performance in products and processes. He shows how to use statistically designed experiments to obtain information for characterization and optimization of systems, improve manufacturing processes, and design and develop new processes and products. You will also learn how to evaluate material alternatives in product design, improve the field performance, reliability, and manufacturing aspects of products, and conduct experiments effectively and efficiently. Discover how to improve the quality and efficiency of working systems with this highly acclaimed book. This 6th edition: places a strong focus on the use of the computer, providing output from two software products: Minitab and DesignExpert; presents timely, new examples as well as expanded coverage on adding runs to a fractional factorial to de alias effects; includes detailed discussions on how computers are currently used in the analysis and design of experiments; offers new material on a number of important topics, including follow up experimentation and split plot design; and focuses even more sharply on factorial and fractional factorial design.

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