Random Data: Analysis & Measurement Procedures [Hardcover]

Julius S. Bendat (Author), Allan G. Piersol (Author)

Book Description

ISBN-10: 0471317330 | ISBN-13: 978-0471317333 | Publication Date: January 15, 2000 | Edition: 3

The classic reference on the theory and application of random data analysis-now expanded and revised. This eagerly awaited new edition of the bestselling random data analysis book continues to provide first-rate, practical tools for scientists and engineers who investigate dynamic data as well as those who use statistical methods to solve engineering problems. It is fully updated, covering new procedures developed since 1986 and extending the discussion to a remarkably broad range of applied fields, from aerospace and automotive industries to biomedical research. Comprehensive and self-contained, this new edition also greatly expands coverage of the theory, including derivations of key relationships in probability and random process theory not usually found in books of this kind. Special features of Random Data: Analysis and Measurement Procedures, Third Edition include:
* Basic probability functions for level crossings and peak values of random data
* Complete derivations of both old and new practical formulas for statistical error analysis of computed estimates
* The latest methods for data acquisition and processing as well as nonstationary data analysis
* Additional techniques on digital data analysis procedures
* New material on the analysis of multiple-input/multiple-output linear systems
* Numerous new examples and problem sets
* Hundreds of updated illustrations and references

*An Instructor's Manual presenting detailed solutions to all the problems in the book is available from the Wiley editorial department.

Editorial Reviews

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. --This text refers to an out of print or unavailable edition of this title.

See all Editorial Reviews

Product Details

• Hardcover: 594 pages
• Publisher: Wiley-Interscience; 3 edition (January 15, 2000)
• Language: English
• ISBN-10: 0471317330
• ISBN-13: 978-0471317333
• Product Dimensions: 9.3 x 6.4 x 1.4 inches
• Shipping Weight: 2.2 pounds
• Average Customer Review: 4.5 out of 5 stars  See all reviews (2 customer reviews)
• Amazon Best Sellers Rank: #1,406,230 in Books (See Top 100 in Books)

Customer Reviews

Most Helpful Customer Reviews

31 of 32 people found the following review helpful:

4.0 out of 5 stars Random data and Coherent content, March 27, 2000

By 

J. K. Hong (USA) - See all my reviews
(REAL NAME)   

This review is from: Random Data: Analysis & Measurement Procedures (Hardcover)

My major is meteorology and deal with time series data, which have huge amount of data number. This book is very helpful to me. I have to determine the statistical significance of my data and check up the assumptions both in time and frequency domain, before deciding the statistical tests. I read a few this kinds of books but they were only concentrated on the explanation of simple statistics theory and then came to stop after showing only a few simple examples. So it is difficult to apply to my raw data because the assumptions that were applied to the theory were invalid in real situation. For example, ¡°Introduction to probability and statistics for engineers and scientist, by Sheldon M. Ross¡± is too theoretical to me and the application of theories is biased to the persons who are interested in small data set. Additionally, many books assumed the normal distribution and did not refer how we could test these assumptions. In analyzing the time series, not only is important the data analysis in time domain, but also the analysis in frequency domain. ¡°Applied Statistical time series analysis by Shumway¡± dealt with it. However, ¡°Random data by Bendat and Piersol¡± more will be helpful to the people who deal with time series, want to design statistical filters and to do the statistical tests and need more profound and systematic theories and understanding.

1 of 12 people found the following review helpful:

5.0 out of 5 stars second hand book purchase, June 16, 2009

By 

Marc David (Belgium, Europe) - See all my reviews
(REAL NAME)   

This review is from: RANDOM DATA Analysis and Measurement Procedures (Hardcover)

The book was delivered well before the stated date and it was in the state I expected from the information which was available on the website.
I have no complaints.