Titlebook: Chaos: A Statistical Perspective; Kung-Sik Chan,Howell Tong Book 2001 Springer-Verlag New York 2001 correlation.deterministic chaos.dynami

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Verification of collaboration profitabilityactions. Some statisticians might find chaos — the notion totally alien, and even suspicious. They might have heard or overheard one or two claims perpetuated in some popular accounts of deterministic chaos theory, from which they might form the impression that the theory attempts to explain almost

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Verification of collaboration profitabilityon law, i.e. the dynamics, is assumed to be known precisely and the states are assumed to be free from any errors, such as measurement errors, rounding errors, etc. In reality, such assumptions are rarely satisfied. We should therefore extend the deterministic dynamical system to a stochastic dynami

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Modeling collaboration of profit centersplications, the fundamental task is to start with the data, especially the real observations, and explore the impact of the various notions relating to chaos on their analysis. This is the area where the statisticians can make truly important contributions. Much research remains to be done, but a go

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https://doi.org/10.1007/978-3-540-68658-3have either established, or potential, points of contact with statistics. Our aim is to give a general flavour rather than going into all the technical details. In any case, some of the topics are selected not so much for their completeness, but rather their potential for exciting developments.

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