Response surface methodology : process and product optimization using designed experiments / Raymond H Myers, Douglas C Montgomery and Christine M Anderson-Cook
Series: Wiley series in probability and statisticsPublication details: New Jersey : John Wiley, c2016.Edition: 4th edDescription: xv, 825 p. : illustrations ; 26 cmISBN:- 9781118916018
- 000SA.27 23 M996
| Item type | Current library | Call number | Status | Date due | Barcode | Item holds | |
|---|---|---|---|---|---|---|---|
| Books | ISI Library, Kolkata | 000SA.27 M996 (Browse shelf(Opens below)) | Available | 136766 |
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| 000SA.27 K45 Response surfaces | 000SA.27 M996 Response surface methodology | 000SA.27 M996 Response surface methodology | 000SA.27 M996 Response surface methodology : | 000SA.2f Y19 Pivotal measures in statistical experiments and sufficiency | 000SA.2f Y19 Pivotal measures in statistical experiments and sufficiency | 000SA.3 B396 Introduction to time series using stata / |
Includes bibliographical references and index.
1. Introduction --
2. Building empirical models --
3. Two-level factorial designs --
4. Two-level fractional factorial designs --
5. Process improvement with steepest ascent --
6. The analysis of second-order response surfaces --
7. Multiple response optimization --
8. Design of experiments for fitting response surfaces-I --
9. Experimental designs for fitting response surfaces-II --
10. Advanced topics in response surface methodology --
11. Robust parameter design and process robustness studies --
12. Experiments with mixtures --
13. Other mixture design and analysis techniques --
Appendices --
References --
Index.
The Fourth Edition of Response Surface Methodology: Process and Product Optimization Using Designed Experiments presents updated coverage on the underlying theory and applications of response surface methodology (RSM). Providing the assumptions and conditions necessary to successfully apply RSM in modern applications, the new edition covers classical and modern response surface designs inorder to present a clear connection between the designs and analyses in RSM.
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