9780792368274 - quality improvement with design of experiments: a response surface approach (topics in safety, risk, reliability and quality, band 7) von vuchkov, i.n.; boyadjieva, n.l. (4 Ergebnisse)
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Zustand: New. Presents a model-based approach to quality improvement through design of experiments. This title provides a description of statistical methods for data analysis and design of experiments. It offers systematic and practical guidance to a model-based approach to quality engineering problems. Series: Topics in Safety,… Risk, Reliability and Quality. Num Pages: 524 pages, biography. BIC Classification: PBWH; TBD; TBJ. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 234 x 156 x 28. Weight in Grams: 2010. . 2001. Hardback. . . . . Books ship from the US and Ireland.
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Gebunden. Zustand: New. Residualplots 74 Normaland half-normal plots 77 2. 3. 10. TRANSFORMATIONS OF VARIABLES 80 2. 3. 11. WEIGHTED LEAST SQUARES 82 2. 4. Bibliography 84 Appendix A. 2. 1. Basic equation ofthe analysis ofvariance 84 Appendix A. 2. 2. Derivation of the simplified .
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Buch. Zustand: Neu. Neuware - This book presents a model-based approach to quality improvement through design of experiments. After a description of statistical methods for data analysis and design of experiments it addresses the following topics: Taguchi's approach to quality improvement; Reduction of errors transmitted from fa…ctors to the response; Robustness against errors in product/process parameters and external noise factors; Optimization procedures for product/process design; Quality improvement through mechanistic models; Quality improvement of products with both qualitative and quantitative factors; and Quality improvement based on replicated observations. The book provides systematic and detailed practical guidance to a model-based approach to quality engineering problems. All methods are illustrated by real-world examples that make them readily accessible to readers. All mathematical proofs are given in appendices to the relevant chapters. The book is written for a wide range of engineers, quality engineering professionals, engineering designers, engineering statisticians, and all those who want to apply design of experiments to solving quality improvement problems. The text is appropriate for undergraduate and graduate students in engineering and statistics.
