000 | 01186nam a2200193 4500 | ||
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008 | 180104b xxu||||| |||| 00| 0 eng d | ||
020 | _a9781498745987 | ||
082 |
_a519.57 _bAND |
||
100 |
_aAnderson, Mark _98447 |
||
245 | _aRSM Simplified: Optimizing Processes Using Response Surface Methods for Design of Experiments | ||
250 | _a2nd ed | ||
260 |
_bCRC Press Taylor & Francis Group _c2017 _aBoca Raton |
||
300 | _a295p | ||
500 | _a1. Introduction to the Beauty of Response Surface Methods. 2. Lessons to Learn from Happenstance Regression. 3. Factorials to set the stage for more glamorous RSM Designs. 4. Central Composite Design: Stars Added-RSM Show Begins. 5. Three-Level Designs. 6. Finding your sweet spot for multiple responses. 7. Computer-generated optimal designs. 8. Everything you should know about CCDs (but dare not ask!). 9. RSM for Six Sigma. 10. Other Applications for RSM. 11. Applying RSM to Mixtures. | ||
600 |
_aExperimental Design - Congresses _924246 |
||
600 |
_aResponse Surfaces, Statistics - Congresses _924247 |
||
700 |
_aWhitcomb, Patrick J. _98453 |
||
942 |
_2ddc _cLB _k519.57 _mAND |
||
999 |
_c110251 _d110251 |