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El trabajo presenta un test de Montecarlo, basado en el área comprendida en un intervalo entre las curvas de dilatación y erosión, para contrastar el modelo booleano frente a otros modelos de germen y grano con modelos de gérmenes de tipo de agrupación o repulsión pero manteniendo la distribución del grano.
:62 Statistics::62M Inference from stochastic processes [Classificació AMS], stochastic geometry, Processos estocàstics, random sets, Inference, Inferència, Germ-grain models, Classificació AMS::62 Statistics::62M Inference from stochastic processes, Classificació AMS::60 Probability theory and stochastic processes::60D05 Geometric probability, stochastic geometry, random sets, :60 Probability theory and stochastic processes::60D05 Geometric probability, stochastic geometry, random sets [Classificació AMS], Probabilitats, Classificació AMS::60 Probability theory and stochastic processes::60D05 Geometric probability, Inference on boolean models, Probability
:62 Statistics::62M Inference from stochastic processes [Classificació AMS], stochastic geometry, Processos estocàstics, random sets, Inference, Inferència, Germ-grain models, Classificació AMS::62 Statistics::62M Inference from stochastic processes, Classificació AMS::60 Probability theory and stochastic processes::60D05 Geometric probability, stochastic geometry, random sets, :60 Probability theory and stochastic processes::60D05 Geometric probability, stochastic geometry, random sets [Classificació AMS], Probabilitats, Classificació AMS::60 Probability theory and stochastic processes::60D05 Geometric probability, Inference on boolean models, Probability
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