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undations can be measured. For example, as a starting point, randomness can be modeled as selection from a uniform distribution, in accordance with Bernoulli's Principle of Insufficient Reason that states that in the absence of knowledge to the contrary assume all outcomes are equally likely. The aim is '
dence of Harvie [Harvie 2000] and Barbosa-Filho & Taylor [Barbosa-Filho Taylor 2006], the cycles for the
x runs. The great analytic probabilist, William Feller, among many others, including the distinguished 18 Century Swiss family of mathematicians, the Bernoulli's, proved that computing a standard run score, srs, involves three terms, the theoretical expectation, E, of the number of runs, r, that is E(r), the
, Dutton, N.Y. 1911. A Nation of Believers Martin Marty, Univ. Chicago Press, Chicago. 1976. Introduction to Percolation Theory. Dietrich Stauffer. Taylor and Francis. London. 1985. Modern Theory of Critical Phenomena. Shang-Keng Ma, Benjamin/Cummings. Reading, MA. 1976. A Modern Course in Statistical
tentially pathophysiological both of the two extremes of entropy generation, fixed point and periodic behavior as the lowest and fair coin flipping, “Bernoulli” randomness as the highest, another descriptor, “complexity” is defined as maximal (optimal) midway through the entropy range, making a new kind of
): Introduction to Phase Transitions and Critical Phenomena. Oxford University Press, Oxford Stauffer, C. (1985) Introduction to Percolation Theory. Taylor and Francis. London Stergiopulos, N., Porret, C.A., De Brower, S., Mesiter, J.J. (1998) Arterial vasomotion: effect of flow and evidence of nonlinear
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