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The modeling is carried out within a novel statistical framework and, by using statistical methodology, we carry out experimentally based construction of a mathematical model.
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In this study, we aimed to optimize the cultural and nutritional conditions for protease production by Lysinibacillus fusiformis strain C250R in submerged fermentation process using statistical methodology.
AmyC production was optimized under SSF using statistical design methodology.
The frequencies of expected haplotypes were estimated by using the statistical methodologies implemented by HPlus software [ 21], which infers haplotypes based on expectation-maximization with a modified progressive ligation computational algorithm.
This is possible by designing experiments statistically using statistical techniques such as response surface methodology (RSM) (Bhaumik et al. 2013).
Process conditions were optimized using statistical experimental design methodology.
This is first report on LAP production by S. gedanensis using statistical experimental design and response surface methodology in submerged fermentation.
The project uses statistical simulation methodology that is a paradigm shift from traditional computational approaches.
We consider the use of the likelihood function (20) using standard statistical methodology.
A large fraction of these CO measurements were below the detection limit (23 of 35 (66%) of above ground measurements and 4200 (45%) of 9331 underground measurements), and values were imputed (assigned) by NIOSH/NCI to these samples using a statistical methodology.
Our data were analysed using rigorous statistical methodology, including the consideration of missing data by multiple imputation.
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