Random Data: Analysis and Measurement Procedures

Capa
John Wiley & Sons, 20 de set. de 2011 - 640 páginas
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.

 

Páginas selecionadas

Conteúdo

Preface
Basic Descriptions and Properties
Linear Physical Systems
Probability Fundamentals
Statistical Principles
Stationary Random Processes
SingleInputOutput Relationships
MultipleInputOutput Relationships
Nonstationary Data Analysis
The Hilbert Transform
Nonlinear System Analysis
Bibliography
Definitions for Random Data Analysis
List of Figures
List of Tables
CHAPTER 5

Statistical Errors in Basic Estimates
Statistical Errors in Advanced Estimates
Data Acquisition and Processing
Data Analysis
CHAPTER 11
CHAPTER 14
Direitos autorais

Outras edições - Ver todos

Random Data: Analysis and Measurement Procedures
Julius S. Bendat,Allan G. Piersol
Prévia não disponível - 2010

Termos e frases comuns

analysis Applications approach approximated Assume autocorrelation function autospectral density function averaging bandwidth becomes bias error called Chapter coherence function components computed conditioned Consider constant correlation cross-correlation defined derived desired detailed determine discussed distribution Edition equal Equation estimate Example expected factor Figure filter finite follows formulas Fourier transform frequency response function gain Gaussian given gives Hence illustrated independent input interval length linear system mean square value mean value measured noise nonlinear system nonstationary normalized Note observations obtain occurs operations optimum output parameter peak periodic phase physical points practice probability density function problems procedure produce properties quantity random data random error random process random variable range relation represents resolution respectively sample record shows signal single Specifically spectral density functions spectrum standard stationary random Statistical Table uncorrelated variance yields zero

Sobre o autor (2011)

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.

Informações bibliográficas

TítuloRandom Data: Analysis and Measurement Procedures
Wiley Series in Probability and Statistics
AutoresJulius S. Bendat, Allan G. Piersol
Edição4, ilustrada
EditoraJohn Wiley & Sons, 2011
ISBN1118210824, 9781118210826
Num. págs.640 páginas
  
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