Author: Ren Luquan
Publisher:
Publish Date: 2003-08-01
Features: This book introduces the basic principles and common methods of experimental optimization, with a focus on explaining the optimization methods and new analysis techniques in experimental design, regression design, and data processing. The book is divided into 3 parts and 21 chapters. Part 1 covers experimental design, introducing new methods in robust design and uniform design. Part 2 focuses on regression design, presenting new application techniques in D-optimization and mixture regression design. Part 3 is dedicated to experimental optimization analysis, discussing common challenges and solutions in experimental data processing, as well as new research findings and their practical applications in data analysis. This book can serve as a textbook for undergraduate and graduate students in science, engineering, agriculture, economics, management, and related fields, and can also be referenced by researchers, engineering technicians, experimental personnel, marketing professionals, and managers.
Test Optimization Design and Analysis - (Second Edition) (Second Edition)
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