Design and Analysis of Experiments 10/e AE [Montgomery] 9781119590835

🔸書名:Design and Analysis of Experiments 10/e AE
🔸作者:Montgomery
🔸ISBN:9781119590835
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商品編號: PS0491P

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產品介紹

Design and Analysis of Experiments provides a rigorous introduction to product and process design improvement through quality and performance optimization. Clear demonstration of widely practiced techniques and procedures allows readers to master fundamental concepts, develop design and analysis skills, and use experimental models and results in real-world applications. Detailed coverage of factorial and fractional factorial design, response surface techniques, regression analysis, biochemistry and biotechnology, single factor experiments, and other critical topics offer highly-relevant guidance through the complexities of the field.

Stressing the importance of both conceptual knowledge and practical skills, this text adopts a balanced approach to theory and application. Extensive discussion of modern software tools integrate data from real-world studies, while examples illustrate the efficacy of designed experiments across industry lines, from service and transactional organizations to heavy industry and biotechnology. Broad in scope yet deep in detail, this text is both an essential student resource and an invaluable reference for professionals in engineering, science, manufacturing, statistics, and business management.

規格說明

頁數:688
版次:第10版
年份:2020年
規格:平裝/單色
ISBN:9781119590835

產品內容與運送說明

1 Introduction
2 Simple Comparative Experiments
3 Experiments with a Single Factor: The Analysis of Variance
4 Randomized Blocks, Latin Squares, and Related Designs
5 Introduction to Factorial Designs
6 The 2Factorial Design
7 Blocking and Confounding in the 2k Factorial Design
8 Two-Level Fractional Factorial Designs
9 Additional Design and Analysis Topics for Factorial and Fractional Factorial Designs
10 Fitting Regression Models
11 Response Surface Methods and Designs
12 Robust Parameter Design and Process Robustness Studies
13 Experiments with Random Factors
14 Nested and Split-Plot Designs
15 Other Design and Analysis Topics (Available in e-text for students)

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