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Experiments = planning, analysis, an...

Wu, Chien-Fu.

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Experiments = planning, analysis, and optimization /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Experiments/ C.F. Jeff Wu, Michael S. Hamada.
其他題名:	planning, analysis, and optimization /
作者:	Wu, Chien-Fu.
其他作者:	Hamada, Michael,
出版者:	Hoboken, NJ :Wiley, : 2021.,
面頁冊數:	1 online resource (xxxiii, 700 p.) :ill.
標題:	Experimental design. -
電子資源:	https://onlinelibrary.wiley.com/doi/book/10.1002/9781119470007
ISBN:	9781119470007

Experiments = planning, analysis, and optimization /
Wu, Chien-Fu.

Experimentsplanning, analysis, and optimization /[electronic resource] :C.F. Jeff Wu, Michael S. Hamada. - 3rd ed. - Hoboken, NJ :Wiley,2021. - 1 online resource (xxxiii, 700 p.) :ill. - Wiley series in probability and statistics. - Wiley series in probability and statistics..

Includes bibliographical references and index.

"This Third Edition covers design of experiments and integrates computer experiments with other design topics. The main changes in this Third Edition are two new chapters, one on computer experiments, the other on optimal design. Computer experiments have become very popular in experimental design because increasingly more and more experiments are conducted on a computer, such as running finite element simulations, instead of conducting physical experiments. This book starts each chapter with a real experiment. Then, the authors develop the needed tools in subsequent sections. Finally, the chapter ends with the application of these tools to the experiment. Each chapter includes exercises, and the authors have added new exercise problems with selected solutions to the Instructor's solutions manual. This is an ideal book for design of experiments courses at the upper-undergraduate and graduate levels. It is also a valuable resource for practicing engineers and statisticians. Design of experiments (DOE) is a systematic method to determine the relationship between factors affecting a process and the output of that process. In other words, it is used to find cause-and-effect relationships. This information is needed to manage process inputs in order to optimize the output"--

ISBN: 9781119470007

LCCN: 2020014464Subjects--Topical Terms:

524737
Experimental design.

LC Class. No.: QA279 / .W7 2021

Dewey Class. No.: 519.5/7

Experiments = planning, analysis, and optimization /
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245 1 0 $a Experiments $h [electronic resource] : $b planning, analysis, and optimization / $c C.F. Jeff Wu, Michael S. Hamada.
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260 $a Hoboken, NJ : $b Wiley, $c 2021.
300 $a 1 online resource (xxxiii, 700 p.) : $b ill.
490 1 $a Wiley series in probability and statistics
504 $a Includes bibliographical references and index.
520 $a "This Third Edition covers design of experiments and integrates computer experiments with other design topics. The main changes in this Third Edition are two new chapters, one on computer experiments, the other on optimal design. Computer experiments have become very popular in experimental design because increasingly more and more experiments are conducted on a computer, such as running finite element simulations, instead of conducting physical experiments. This book starts each chapter with a real experiment. Then, the authors develop the needed tools in subsequent sections. Finally, the chapter ends with the application of these tools to the experiment. Each chapter includes exercises, and the authors have added new exercise problems with selected solutions to the Instructor's solutions manual. This is an ideal book for design of experiments courses at the upper-undergraduate and graduate levels. It is also a valuable resource for practicing engineers and statisticians. Design of experiments (DOE) is a systematic method to determine the relationship between factors affecting a process and the output of that process. In other words, it is used to find cause-and-effect relationships. This information is needed to manage process inputs in order to optimize the output"-- $c Provided by publisher.
588 $a Description based on online resource; title from digital title page (viewed on April 12, 2021).
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