Random Data: Analysis & Measurement Procedures

Random Data: Analysis & Measurement Procedures

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Manufacturer: Wiley-Interscience
Author: Julius S. Bendat
Binding: Hardcover
Publication Date: 2000-01-15
Publisher: Wiley-Interscience
Label: Wiley-Interscience
Number Of Pages: 594
Features:

Editorial Review:
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.
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Customer Reviews
Average Customer Rating:

Random data and Coherent content

2000-03-28
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.

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