Prediction and Regulation by Linear Least-Square Methods was first
published in 1963. This revised second edition was issued in 1983.
Minnesota Archive Editions uses digital technology to make
long-unavailable books once again accessible, and are published
unaltered from the original University of Minnesota Press
editions.During the past two decades, statistical theories of
prediction and control have assumed an increasing importance in all
fields of scientific research. To understand a phenomenon is to be
able to predict it and to influence it in predictable ways. First
published in 1963 and long out of print, Prediction and Regulation
by Linear Least-Square Methods offers important tools for
constructing models of dynamic phenomena. This elegantly written
book has been a basic reference for researchers in many applied
sciences who seek practical information about the representation
and manipulation of stationary stochastic processes. Peter
Whittle's text has a devoted group of readers and users, especially
among economists. This edition contains the unchanged text of the
original and adds new works by the author and a foreword by
economist Thomas J. Sargent.
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