A timely update of the classic book on the theory and application
of random data analysis
First published in 1971, "Random Data" served as an
authoritative book on the analysis of experimental physical data
for engineering and scientific applications. This "Fourth Edition"
features coverage of new developments in random data management and
analysis procedures that are applicable to a broad range of applied
fields, from the aerospace and automotive industries to
oceanographic and biomedical research.
This new edition continues to maintain a balance of classic
theory and novel techniques. The authors expand on the treatment of
random data analysis theory, including derivations of key
relationships in probability and random process theory. The book
remains unique in its practical treatment of nonstationary data
analysis and nonlinear system analysis, presenting the latest
techniques on modern data acquisition, storage, conversion, and
qualification of random data prior to its digital analysis. The
Fourth Edition also includes: A new chapter on frequency domain
techniques to model and identify nonlinear systems from measured
input/output random dataNew material on the analysis of
multiple-input/single-output linear modelsThe latest recommended
methods for data acquisition and processing of random dataImportant
mathematical formulas to design experiments and evaluate results of
random data analysis and measurement proceduresAnswers to the
problem in each chapter
Comprehensive and self-contained, "Random Data, Fourth Edition"
is an indispensible book for courses on random data analysis theory
and applications at the upper-undergraduate and graduate level. It
is also an insightful reference for engineers and scientists who
use statistical methods to investigate and solve problems with
dynamic data.
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