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A robust statistical approach for discrimination of competing microbial growth kinetics models was applied.
Burgers models was applied to characterize the creep behavior of our shale samples.
The performance of the Principal Components Analysis (PCA) models was applied in this research to check the possibility to classify pork samples in the respective freshness group.
In vitro, a low flow against the DDF of ten examples each of five different NRV models was applied and the integrity for fluid and transmigration of three different indicator micro-organisms was tested.
Furthermore a linear combination of predictions from models was applied with negligible gain in accuracy.
We also compared the agreement in hospital-level risk-adjusted bypass outcome performance ratings depending on which of the four risk models was applied.
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Regression models were applied.
Two kinetic models were applied.
Mass point analytical models were applied.
Three material models were applied.
Linear mixed models were applied in the analysis.
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