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CC/NUMBER 19 This Week’s Citation Classic MAY 12, 1980 Papoulis A. Probability, random variables, and stochastic processes. New York: McGraw Hill, 1965. 583 p. [ Department of Electrical Engineering, Polytechnic Institute of New York, Brooklyn, NY] Axiomatic development of the theory of ‘Scientific theories deal with concepts, never probability and stochastic processes with with reality. All theoretical results are derived emphasis on conceptual clarity is presented. from certain axioms by deductive logic. The It includes: repeated trials and asymptotic theories are so formulated as to correspond theorems, ergodicity, spectral analysis, in some useful sense to the real world linear systems, estimation and filtering, whatever that may mean. However, this normal and Markoff processes, Shot noise. correspondence is approximate, and the ® [The SCI indicates that this book has been physical justification of all theoretical cited over 995 times since 1965.] conclusions is based on some form of inductive reasoning.’ “My second task was to simplify and unify the treatment of applied topics: Poisson processes, Brownian motion, thermal noise, harmonic analysis. Such topics are Athanasios Papoulis developed in specialized books where the Polytechnic Institute of New York primary emphasis is on applications. I chose Farmingdale, NY 11735 a different approach: I tried to develop them as illustrations of the general theory January 11, 1980 concentrating always on probabilistic content and minimizing peripheral, descriptive material. “A typical illustration is the Wiener theory of “Probability is not a typical scientific estimation. This topic, first published as a discipline. Students of the subject find the classified report during the war, appeared in 1 definitions often ambiguous and they the open literature in a yellow monograph interpret the results not as manifestations of known as the yellow peril because it was physical laws but rather as measures of our written in a language that was foreign to ignorance. I wrote this book mainly because most engineers. The importance of the I wanted to overcome the resulting theory was soon recognized and new skepticism. applications were discussed in engineering “In my view, the book has been highly cited texts. However, most treatments were based for two reasons: (1) It presents the theory of essentially on the original derivations that probability as a deductive structure free from involved advanced theory of functions, conceptual ambiguities. (2) It treats a integral equations, and the calculus of variety of seemingly difficult concepts and variations. Perhaps the main reason for my applications with clarity, simplicity, and involvement with this book was my perspective. conviction that a simpler approach was “To achieve the above objectives, I stressed possible. Starting from the estimation of one early in the book that probability, like any random variable in terms of another, I other science, is a mental structure whose formulated the ‘orthogonality principle’ and conclusions are based not on experience but used it to solve a variety of estimation on logic. Departing from the tradition of problems. The development is often technical books, I devoted the first chapter heuristic but it leads to simple results. It is in on the philosophical meaning of probability this sense characteristic of the entire book: to explaining the necessity for a clear occasional sacrifice of mathematical rigor distinction between assumptions and for the sake of clarity, perspective, and deductions. The starting sentence of this economy. The results were unexpected; they chapter is an indication of my approach: are gratifying.” 1. Wiener N. Extrapolation, interpolation, and smoothing of stationary time series. New York: MIT Press and John Wiley, 1949. 163 p. 21
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