The theory of integration (including measure) is the basis for the study of
probability and random variation. Thus Henstock’s Riemann-type integration theory
has relevance to our understanding of random variation. Henstock addressed this issue
in many of his published works, in which he gave interpretations of probability, of the
statistical analysis of data, and of random processes. His analysis of Feynman’s nonabsolute
integrals in quantum mechanics brings this subject properly into the domain
of random variation.
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