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Identification of parametric models : from experimental data

Eric Walter, +1 more
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The article was published on 1997-01-01 and is currently open access. It has received 1251 citations till now. The article focuses on the topics: Parametric model & Experimental data.

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Design of population pharmacokinetic experiments using prior information

TL;DR: This work provides a brief background of approaches to the designs of a population Pharmacokinetic experiment and a review of optimal design methodologies that have been developed for designing population pharmacokinetic experiments.
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Calibrar: an R package for fitting complex ecological models

TL;DR: Calibrar is an R package that has been developed for fitting complex ecological models to data, including complex Individual Based Models and is a generic tool that can be used for any type of model, especially those with non-differentiable objective functions.

Robust Experiment Design

TL;DR: In this paper, the authors propose a method to solve the problem of "uniformity" and "uncertainty" in the context of health care, and propose a solution.
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Coupling between mass diffusion and film temperature evolution in gravimetric experiments

TL;DR: In this paper, the authors show that during a swelling or drying experiment, the temperature of the film surface changes due to the latent heat of vaporization, which induces a variation of the activity.
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A generalized fisher equation and its utility in chemical kinetics

TL;DR: The GFE presents a noise threshold that may be used to test the validity of experimental measurements without requiring any additional information, and can be used as an optimization criterion for the determination of rate coefficients in a given reaction mechanism.