Random Data
eBook - ePub

Random Data

Analysis and Measurement Procedures

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

Random Data

Analysis and Measurement Procedures

About this book

RANDOM DATA

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-under-graduate 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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Yes, you can access Random Data by Julius S. Bendat,Allan G. Piersol in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Quality Control in Engineering. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Series Page 1
  3. Series Page 2
  4. Title Page
  5. Copyright
  6. Dedication
  7. Preface
  8. Preface to the Third Edition
  9. Glossary of Symbols
  10. CHAPTER 1: Basic Descriptions and Properties
  11. CHAPTER 2: Linear Physical Systems
  12. CHAPTER 3: Probability Fundamentals
  13. CHAPTER 4: Statistical Principles
  14. CHAPTER 5: Stationary Random Processes
  15. CHAPTER 6: Single-Input/Output Relationships
  16. CHAPTER 7: Multiple-Input/Output Relationships
  17. CHAPTER 8: Statistical Errors in Basic Estimates
  18. CHAPTER 9: Statistical Errors in Advanced Estimates
  19. CHAPTER 10: Data Acquisition and Processing
  20. CHAPTER 11: Data Analysis
  21. CHAPTER 12: Nonstationary Data Analysis
  22. CHAPTER 13: The Hilbert Transform
  23. CHAPTER 14: Nonlinear System Analysis
  24. Bibliography
  25. Appendix A: Statistical Tables
  26. Appendix B: Definitions for Random Data Analysis
  27. List of Figures
  28. List of Tables
  29. List of Examples
  30. Answers to Problems in Random Data
  31. Index