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 non-absolute integrals in quantum mechanics
brings this subject properly into the domain of random variation.