251x Filetype PDF File size 0.11 MB Source: garfield.library.upenn.edu
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.
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