Random Data: Analysis and Measurement Procedures / Edition 4

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"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.

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Editorial Reviews

Zentralblatt Math
The book is a good practical reference for working engineers and scientists in many fields.
Measurement Science & Technology
...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.
...time series analysts will certainly wish to have continuing access to both books and libraries will want to get copies of both new editions.
...time series analysts will certainly wish to have continuing access to both books and libraries will want to get copies of both new editions.
Bendat and Piersol, both of whom have their own engineering company, produced the 1966 first edition as the practical reference for working engineers and scientists who work with random data in any discipline, for various US government agencies; it was titled . Shortly thereafter, computer technology opened a wide range of new techniques, and they updated their work in 1986. Since then, in addition to the continuing dialectic between developments in computer power and calculation techniques, two developments have shaped the third edition: their publication of a sister volume even more narrowly focused on practical applications, and the increasing use of this work as a teaching text for advanced courses on analyzing random processes. Therefore, their revisions here enhance the features useful in classrooms, including rigorous proofs and derivation of more of the basic relationships in random process theory, which are difficult to find elsewhere. Annotation c. Book News, Inc., Portland, OR (booknews.com)
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Product Details

  • ISBN-13: 9780470248775
  • Publisher: Wiley, John & Sons, Incorporated
  • Publication date: 2/8/2010
  • Series: Wiley Series in Probability and Statistics Series , #729
  • Edition description: New Edition
  • Edition number: 4
  • Pages: 640
  • Sales rank: 595,047
  • Product dimensions: 6.40 (w) x 9.30 (h) x 1.50 (d)

Meet the Author

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.

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Table of Contents

Glossary of Symbols

1 Basic Descriptions and Properties 1

2 Linear Physical Systems 25

3 Probability Fundamentals 45

4 Statistical Principles 79

5 Stationary Random Processes 109

6 Single-Input/Output Relationships 173

7 Multiple-Input/Output Relationships 201

8 Statistical Errors in Basic Estimates 249

9 Statistical Errors in Advanced Estimates 289

10 Data Acquisition and Processing 317

11 Data Analysis 359

12 Nonstationary Data Analysis 417

13 The Hilbert Transform 473

14 Nonlinear System Analysis 505

Bibliography 527

App. A Statistical Tables 533

App. B Definitions for Random Data Analysis 545

List of Figures 557

List of Tables 565

List of Examples 567

Answers to Problems in Random Data 571

Index 599

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