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Random Data: Analysis and Measurement ProceduresBy Julius S. Bendat, Allan G. Piersol
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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.
- Sales Rank: #512443 in Books
- Published on: 2010-02-08
- Original language: English
- Number of items: 1
- Dimensions: 9.60" h x 1.50" w x 6.50" l, 2.24 pounds
- Binding: Hardcover
- 640 pages
Review
"...time series analysts will certainly wish to have continuing access to both books and libraries will want to get copies of both new editions." (Technometrics, Vol. 42, No. 4, May 2001)
The book is a good practical reference for working engineers and scientists in many fields. (Zentralblatt Math, Volume 953, March 2001)
"...can be recommended for practical working engineers and scientists to support their daily work, as well as for university readers as a teaching textbook in advanced courses" (Measurement Science & Technology, December 2000)
From the Publisher
A revised and expanded edition of this classic reference/text, covering the latest techniques for the analysis and measurement of stationary and nonstationary random data passing through physical systems. With more than 100,000 copies in print and six foreign translations, the first edition standardized the methodology in this field. This new edition covers all new procedures developed since 1971 and extends the application of random data analysis to aerospace and automotive research; digital data analysis; dynamic test programs; fluid turbulence analysis; industrial noise control; oceanographic data analysis; system identification problems; and many other fields. Includes new formulas for statistical error analysis of desired estimates, new examples and problem sets.
From the Back Cover
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.
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