Series of measurements from many physiological processes appear random. On the other hand, we are used to thinking that the determinants of variability cannot be known because of the multiplicity and interconnectivity of the factors affecting the phenomena. This idea relies on the classical view of randomness, which requires that a complex process have a large (perhaps infinite) number of degrees of freedom that are not directly observed but whose presence is manifested through fluctuations. However, over the last two decades, scientists from various fields of research have shown that randomness generated by deterministic dynamic processes
CITATION STYLE
Macheras, P., & Iliadis, A. (2016). Nonlinear Dynamics. In Interdisciplinary Applied Mathematics (Vol. 30, pp. 37–49). Springer Nature. https://doi.org/10.1007/978-3-319-27598-7_3
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