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Application of Orthogonal Array Comp...
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Wang, Xinyue.
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Application of Orthogonal Array Composite Designs to Study Lipid Accumulation.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Application of Orthogonal Array Composite Designs to Study Lipid Accumulation./
作者:
Wang, Xinyue.
面頁冊數:
35 p.
附註:
Source: Masters Abstracts International, Volume: 54-05.
Contained By:
Masters Abstracts International54-05(E).
標題:
Statistics. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1590315
ISBN:
9781321794632
Application of Orthogonal Array Composite Designs to Study Lipid Accumulation.
Wang, Xinyue.
Application of Orthogonal Array Composite Designs to Study Lipid Accumulation.
- 35 p.
Source: Masters Abstracts International, Volume: 54-05.
Thesis (M.S.)--University of California, Los Angeles, 2015.
Nowadays, the world is to develop renewable energy and algal biofuel is a promising alternative to fossil fuel. However the high cost of commercial culture median, like Modified Bold 3N is an insuperable bottleneck in the large-scale production of algae-based biofuels. In this paper, we use orthogonal array composite designs (OACDs) to search optimal chemical combination settings. We initially use a 52-run OACD with six different chemicals. Data analysis suggests that two chemicals could be excluded from combination since they lack of significance. To further study, a follow-up 28-run OACD using four chemicals indicates the optimal combination settings for these chemicals.
ISBN: 9781321794632Subjects--Topical Terms:
517247
Statistics.
Application of Orthogonal Array Composite Designs to Study Lipid Accumulation.
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Nowadays, the world is to develop renewable energy and algal biofuel is a promising alternative to fossil fuel. However the high cost of commercial culture median, like Modified Bold 3N is an insuperable bottleneck in the large-scale production of algae-based biofuels. In this paper, we use orthogonal array composite designs (OACDs) to search optimal chemical combination settings. We initially use a 52-run OACD with six different chemicals. Data analysis suggests that two chemicals could be excluded from combination since they lack of significance. To further study, a follow-up 28-run OACD using four chemicals indicates the optimal combination settings for these chemicals.
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