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In statistics, response surface methodology (RSM) explores the relationships between several explanatory variables and one or more response variables. RSM is an empirical model which employs the use of mathematical and statistical techniques to relate input variables, otherwise known as factors, to the response. RSM became very useful because other…
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| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| RSM can be employed to maximize the production of a special substance by optimization of operational factors | instance of | even when little is known about the process.Statistical approaches | 0.80 | text |
| Response surface methodology | related to Multiple objective functions | Some | 0.60 | section |
| Response surface methodology | related to Multiple objective functions | Multiple | 0.60 | section |
| Response surface methodology | related to Multiple objective functions | Other | 0.60 | section |
| Response surface methodology | related to Practical concerns | Response | 0.60 | section |
| Response surface methodology | related to Practical concerns | In | 0.60 | section |
| Response surface methodology | related to Practical concerns | Of | 0.60 | section |
| Response surface methodology | related to Practical concerns | Nonetheless | 0.60 | section |
| Response surface methodology | related to Practical concerns | For | 0.60 | section |
| Response surface methodology | related to Practical concerns | Box's | 0.60 | section |
| Response surface methodology | related to Practical concerns | The | 0.60 | section |
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