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A regression model for % recovery was developed and its adequacy was evaluated.
A regression model for predicting total coliform reduction under different operating conditions was developed and validated.
Then, a regression model for the temperature/AVGL relation was obtained, and a first approach of uncertainty model is proposed.
Each of the five landscape variables was included in a regression model for one or more coccinellid species.
A regression model for the prediction of extraction efficiency was proposed in the form of quadratic model.
This paper specifies a regression model for a data panel with information from the 31 Mexican states for the period 2005 - 2014.
A regression model for the effect of the configurations of vortex finder on the separation sharpness was developed by the application of central composite design.
We therefore propose a regression model for the assessment of differentiation design for bottle packaging = 0.717 × properties of commodity + 0.708 × design of bottle shape + 0.795 × label design − 2.857.
Response surface methodology (RS M, according to central composite design (CCD), is used to optimize the process variables and a regression model for extraction percentage was developed.
The database contains action configurations, such as positions of body parts, pose descriptors from silhouette images, a stochastic model encoding each sequence of the pose descriptors, and a regression model for predicting the configuration from the pose descriptor.
A regression model for TP leaching losses based on FI, P-AL and yearly discharge (Q) from 11 of the fields over nine years (r2 = 0.67, p = 0.002) was validated against TP leaching from the remaining five fields (32% of farm area).
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