Random data : analysis and measurement procedures
Author(s)
Bibliographic Information
Random data : analysis and measurement procedures
（Wiley series in probability and mathematical statistics, . Texts and references section）
Wiley-Interscience, c2000
3rd ed
Available at 54 libraries
Note
Includes bibliographical references and index
Description and Table of Contents
Description
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
Table of Contents
- Basic descriptions and properties
- linear physical systems
- probability fundamentals
- statistical principles
- stationary random processes
- single-input/output relationships
- multiple-input/output relationships
- statistical errors in basic estimates
- statistical estimates in advanced estimates
- data acquisition and processing
- digital data analysis
- nonstationary data analysis
- the Hilbert transform. Appendixes: statistical tables
- definitions for random data analysis.
by "Nielsen BookData"