Abstract
The article aimed to outline a statistical model based on nonlinear regressions for the efficiency of the Fluorescence Resonance Energy Transfer (FRET) phenomenon and to select a general simulation method of the FRET phenomenon, independent of the nature of the active substance used as a donor. For this purpose, several statistical models of Polynoal and nonlinear Gaussiene regressions were first tested, which would fit as well as possible the variation in time efficiency and its dependence on the concentrations of active substances. The regression models used were implemented and tested in the R language. In the second part of the study we aprooached the problem of simulating the efficiency of FRET by adapting a Monte Carlo method, using as a starting point the previously determined regressive models.
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