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Determinación de las propiedades de ajuste y estimación de los modelos logístico, Gompertz y Baranyi en la dinámica de poblaciones de procariontes con tendencia exponencial

Authors: Vidal Guzmán, Roel Mario;

Determinación de las propiedades de ajuste y estimación de los modelos logístico, Gompertz y Baranyi en la dinámica de poblaciones de procariontes con tendencia exponencial

Abstract

Se han comparado tres modelos para describir la curva de crecimiento de bacterias tácticas y Brochothrix thermosphacta sobre emulsiones cárnicas cocidas y para estimar los parámetros cinéticos de crecimiento: tiempo de latencia (A), máxima velocidad específica decrecimiento (umáx) y máxima densidad bacteriana (ymáx). Se usaron los modelos modificados Logístico, Gompertz y Baranyi y se comparó la bondad de ajuste de los modelos, la incertidumbre y precisión de las estimaciones. Los modelos de Gompertz y Baranyi produjeron los mejores ajustes en la mayoría de los casos presentados. No se detectaron diferencias apreciables entre los modelos en relación a la incertidumbre y precisión de las estimaciones de Ymáx y umáx· Sin embargo, las estimaciones de A dadas por el modelo de Baranyi fueron menos exactas y los resultados muestran que el modelo de Gompertz mostró un mejor comportamiento.

Country
Peru
Keywords

Estimación, Baranyi, Tendencia Exponencial, Dinámica, Gompertz, Procariontes, Poblaciones, Modelos Logístico

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
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Green