Improvement of the D-optimal Staggered-Level Designs by reducing Alias
碩士 === 國立中興大學 === 統計學研究所 === 105 === In industrial experiments, not all factors can be randomly and independently reset at each run. There are many constraints in practice and the levels of some factors is not easy to change. Some designs were developed to solve this problem, including the split-pl...
| Main Authors: | , |
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| Format: | Others |
| Language: | zh-TW |
| Published: |
2017
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| Online Access: | http://ndltd.ncl.edu.tw/handle/82180251591782718346 |