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- W2019802806 abstract "A natural procedure to simplify the study of a large system is the lumping of states in classes. Here the states of a Markov chain associated with a compartmental model of mixing are grouped in classes. Our aim is to study the non-exactly lumpable systems in which the partition in classes is imposed by economic and experimental constraints. In such a case the lumped chain is non-Markovian. Consequently RTD must to be replaced by conditional RTD. Some ways of obtaining conditional RTD by simple experiments in which only the classes itinerary is recorded are presented. Different lumpings are compared using the entropy as a measure of loss of information by lumping." @default.
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- W2019802806 date "1987-01-01" @default.
- W2019802806 modified "2023-09-23" @default.
- W2019802806 title "A stochastic model of lumping" @default.
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- W2019802806 doi "https://doi.org/10.1016/0009-2509(87)80215-4" @default.
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