Book description
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 data
- New material on the analysis of multiple-input/single-output
linear models
- The latest recommended methods for data acquisition and
processing of random data
- Important mathematical formulas to design experiments and
evaluate results of random data analysis and measurement procedures
- Answers 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.
JULIUS S. BENDAT, PhD, is President of the J. S.
Bendat Company, an independent mathematical consulting firm in Los
Angeles, California. An internationally recognized authority in the
field, Dr. Bendat has over fifty years of consulting experience in the
formulation of mathematical models, the development of statistical
error analysis criteria, and the interpretation of engineering
results. He is the author of Nonlinear System Techniques and
Applications and coauthor of Engineering Applications of
Correlation and Spectral Analysis, Second Edition, both
published by Wiley.
The late ALLAN G. PIERSOL, PE, was president of Piersol
Engineering Company. His consulting career spanned over fifty years
and focused on a wide range of topics including the development of
machinery condition monitoring techniques and the statistical analysis
of all types of mechanical shock, vibration, and acoustic data. A
Fellow of the Acoustical Society of America and the Institute of
Environmental Sciences and Technology, Piersol is the coauthor of
Engineering Applications of Correlation and Spectral Analysis,
Second Edition.
