A Sequential Approach of Estimating Two Factor Interactions
A Sequential Approach of Estimating Two Factor Interactions
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In our eReader you can find the full English version of the book. Read A Sequential Approach of Estimating Two Factor Interactions Online - link to read the book on full screen. Our eReader also allows you to upload and read Pdf, Txt, ePub and fb2 books. In the Mini eReder on the page below you can quickly view all pages of the book - Read Book A Sequential Approach of Estimating Two Factor Interactions
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After deleting all repeated experimental runs the total number of runs is only 74 in the above 12 factor experiment.
To find out how many runs are needed in the proposed procedures, we did the following simulation when ISM is known to be sparse. For n factors and different sparses, we generate 1, 000 ISM's by randomly placing p x 100% of ofF-diagnal entries non-zero. For n = 6, .... 20 and p = 25%, 50%, 75%, we cal- culated the average required experiment runs (without considering repeatc^i run...s). The results are listed in Table 3.
In general if m interaction effects needed to be estimated, our procedure would require a little bit more than 2m nms.
Table 3: The numbers of experimental runs needed in the sequential ap- proaches Factors P=-25% P=50% P=75% 6 11. 3 (1. 5(')) 21. 8 (2. 2) 32. 2 (1. 1) 7 17. 3 (1. 9) 29. 8 (2. 4) 46. 0 (2. 5) 8 23. Ti (2. 4) 41. 6 (2. 7) 65. 3 (9. 6) 9 29. 4 (2. 7) 51. 3 (3. 5) 78. 6 (7. 5) 10 34. 4 (2. 8) 63. 2 (4. 1) 91. 4 (4. 3) 11 40. 6 (3. 5) 76. 2 (5.
What to read after A Sequential Approach of Estimating Two Factor Interactions?
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To quickly assess the difficulty of the text, read a short excerpt:
After deleting all repeated experimental runs the total number of runs is only 74 in the above 12 factor experiment.
To find out how many runs are needed in the proposed procedures, we did the following simulation when ISM is known to be sparse. For n factors and different sparses, we generate 1, 000 ISM's by randomly placing p x 100% of ofF-diagnal entries non-zero. For n = 6, .... 20 and p = 25%, 50%, 75%, we cal- culated the average required experiment runs (without considering repeatc^i run...s). The results are listed in Table 3.
In general if m interaction effects needed to be estimated, our procedure would require a little bit more than 2m nms.
Table 3: The numbers of experimental runs needed in the sequential ap- proaches Factors P=-25% P=50% P=75% 6 11. 3 (1. 5(')) 21. 8 (2. 2) 32. 2 (1. 1) 7 17. 3 (1. 9) 29. 8 (2. 4) 46. 0 (2. 5) 8 23. Ti (2. 4) 41. 6 (2. 7) 65. 3 (9. 6) 9 29. 4 (2. 7) 51. 3 (3. 5) 78. 6 (7. 5) 10 34. 4 (2. 8) 63. 2 (4. 1) 91. 4 (4. 3) 11 40. 6 (3. 5) 76. 2 (5.
What to read after A Sequential Approach of Estimating Two Factor Interactions?
You can find similar books in the "Read Also" column, or choose other free books by Bin Zhou to read onlineMoreLess
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