Random Data: Analysis and Measurement Procedures Paperback – 10 Dec 2013

 
9788126546046: Random Data: Analysis and Measurement Procedures Paperback – 10 Dec 2013

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

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1.

BENDAT J. S
ISBN 10 : 8126546042 ISBN 13 : 9788126546046
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Description du livre Paper Back. État : New. (Size: 23 x 15 cms), xxi+614 Verify ISBN for International Edition; year of publication 2014 8126546042. N° de réf. du libraire 298155

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Bendat J. S
ISBN 10 : 8126546042 ISBN 13 : 9788126546046
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bookscollection
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Description du livre État : Brand New. PAPERBACK,Book Condition New, Brand New, Softcover, International Edition. We Do not Ship APO FPO AND PO BOX. Cover Image & ISBN may be different from US edition but contents as US Edition. Printing in English language. Quick delivery by USPS/UPS/DHL/FEDEX/ARAMEX ,Customer satisfaction guaranteed. We may ship the books from Asian regions for inventory purpose. N° de réf. du libraire ABCBSN1102

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Allan G. Piersol,Julius S. Bendat
Edité par CBS Publishers & Distributors Pvt. Ltd. (2014)
ISBN 10 : 8126546042 ISBN 13 : 9788126546046
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Description du livre CBS Publishers & Distributors Pvt. Ltd., 2014. Softcover. État : New. 4th edition. 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. Table of Contents Preface Preface to the Third Edition Glossary of Symbols 1 Basic Descriptions and Properties 1.1 Deterministic Versus Random Data 1.2 Classifications of Deterministic Data 1.3 Classifications of Random Data 1.4 Analysis of Random Data 2 Linear Physical Systems 2.1 Constant-parameter Linear Systems 2.2 Basic Dynamic Characteristics 2.3 Frequency Response Functions 2.4 Illustrations of Frequency Response Functions 2.5 Practical Considerations 3 Probability Fundamentals 3.1 One Random Variable 3.2 Two Random Variables 3.3 Gaussian (Normal) Distribution 3.4 Rayleigh Distribution 3.5 Higher Order Changes of Variables 4 Statistical Principles 4.1 Sample Values and Parameter Estimation 4.2 Important Probability Distribution Functions 4.3 Sampling Distributions and Illustrations 4.4 Confidence Intervals 4.5 Hypothesis Tests 4.6 Correlation and Regression Procedures 5 Stationary Random Processes 5.1 Basic Concepts 5.2 Spectral Density Functions 5.3 Ergodic and Gaussian Random Processes 5.4 Derivative Random Processes 5.5 Level Crossings and Peak Values 6 Single-Input/Output Relationships 6.1 Single-input/Single-output Models 6.2 Single-input/Multiple-output Models 7 Multiple-input/output Relationships 7.1 Multiple-input/single-output Models 7.2 Two-input/One-output Models 7.3 General and Conditioned Multiple-input Models 7.4 Modified Procedure to Solve Multiple-input/Single-output Models 7.5 Matrix Formulas for Multiple-input/Multiple-output Models 8 Statistical Errors in Basic Estimates 8.1 Definition of Errors 8.2 Mean and Mean Square Value Estimates 8.3 Probability Density Function Estimates 8.4 Correlation Function Estimates 8.5 Autospectral Density Function Estimates 8.6 Record Length Requirements 9 Statistical Errors in Advanced Estimates 9.1 Cross-spectral Density Function Estimates 9.2 Single - Input/Output Model Estimates 9.3 Multiple - Input/Output Model Estimates 10 Data Acquisition and Processing 10.1 Data Acquisition 10.2 Data Conversion 10.3 Data Qualification 10.4 Data Analysis Procedures 11 Data Analysis 11.1 Data Preparation 11.2 Fourier Series and Fast Fourier Transforms 11.3 Probability Density Functions 11.4 Autocorrelation Functions 11.5 Autospectral Density Functions 11.6 Joint Record Functions 11.7 Multiple-input/output Functions 12 Nonstationary Data Analysis 12.1 Classes of Nonstationary Data 12.2 Probability Structure of Nonstationary Data 12.3 Nonstationary Mean Values 12.4 Nonstationary Mean Square Values 12.5 Correlation Structure of Nonstationary Data 12.6 Spectral Structure of Nonstationary Data 12.7 Input/output Relations for Nonstationary Data 13 The Hilbert Transform 13.1 Hilbert Transforms for General Records 13.2 Hilbert Transforms for Correlation Functions 13.3 Envelope Detection Followed by Correlation 14 Nonlinear System Analysis 14.1 Zero - Memory and Finite-Memory Nonlinear Systems 14.2 Square - Law and Cubic Nonlinear Models 14.3 Volterra Nonlinear Models 14.4 SI/SO Mod Printed Pages: 640. N° de réf. du libraire 90141

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JULIUS S. BENDAT, ALLAN G. PIERSOL
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Description du livre 2013. Soft cover. État : New. International Edition. Book Condition: BRAND NEW. International/Eastern Economy Edition, Paperback/Softcover with SAME TITLE, AUTHOR AND EDITION as listed. ISBN and Cover design differs. **100% IDENTICAL CONTENTS as U.S Edition**. Standard Delivery within 7-14 business days ACROSS THE GLOBE. We can ship to PO Box, APO address in US. International Edition Textbooks may bear a label (Not for sale in the U.S. or Canada) or (For sale in Asia only) or similar restrictions- printed only to discourage students from obtaining an affordable copy. US Court has asserted your right to buy and use International edition. Access code/CD may not provided with these editions. We may ship the books from MULTIPLE WAREHOUSES ACROSS THE GLOBE including Asia depending upon the availability of inventory. Printed in English. Customer satisfaction guaranteed. N° de réf. du libraire ABECA6556

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Allan G. Piersol,Julius S. Bendat
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ISBN 10 : 8126546042 ISBN 13 : 9788126546046
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Description du livre CBS Publishers & Distributors Pvt. Ltd., 2014. Softcover. État : New. 4th edition. 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. Table of Contents Preface Preface to the Third Edition Glossary of Symbols 1 Basic Descriptions and Properties 1.1 Deterministic Versus Random Data 1.2 Classifications of Deterministic Data 1.3 Classifications of Random Data 1.4 Analysis of Random Data 2 Linear Physical Systems 2.1 Constant-parameter Linear Systems 2.2 Basic Dynamic Characteristics 2.3 Frequency Response Functions 2.4 Illustrations of Frequency Response Functions 2.5 Practical Considerations 3 Probability Fundamentals 3.1 One Random Variable 3.2 Two Random Variables 3.3 Gaussian (Normal) Distribution 3.4 Rayleigh Distribution 3.5 Higher Order Changes of Variables 4 Statistical Principles 4.1 Sample Values and Parameter Estimation 4.2 Important Probability Distribution Functions 4.3 Sampling Distributions and Illustrations 4.4 Confidence Intervals 4.5 Hypothesis Tests 4.6 Correlation and Regression Procedures 5 Stationary Random Processes 5.1 Basic Concepts 5.2 Spectral Density Functions 5.3 Ergodic and Gaussian Random Processes 5.4 Derivative Random Processes 5.5 Level Crossings and Peak Values 6 Single-Input/Output Relationships 6.1 Single-input/Single-output Models 6.2 Single-input/Multiple-output Models 7 Multiple-input/output Relationships 7.1 Multiple-input/single-output Models 7.2 Two-input/One-output Models 7.3 General and Conditioned Multiple-input Models 7.4 Modified Procedure to Solve Multiple-input/Single-output Models 7.5 Matrix Formulas for Multiple-input/Multiple-output Models 8 Statistical Errors in Basic Estimates 8.1 Definition of Errors 8.2 Mean and Mean Square Value Estimates 8.3 Probability Density Function Estimates 8.4 Correlation Function Estimates 8.5 Autospectral Density Function Estimates 8.6 Record Length Requirements 9 Statistical Errors in Advanced Estimates 9.1 Cross-spectral Density Function Estimates 9.2 Single - Input/Output Model Estimates 9.3 Multiple - Input/Output Model Estimates 10 Data Acquisition and Processing 10.1 Data Acquisition 10.2 Data Conversion 10.3 Data Qualification 10.4 Data Analysis Procedures 11 Data Analysis 11.1 Data Preparation 11.2 Fourier Series and Fast Fourier Transforms 11.3 Probability Density Functions 11.4 Autocorrelation Functions 11.5 Autospectral Density Functions 11.6 Joint Record Functions 11.7 Multiple-input/output Functions 12 Nonstationary Data Analysis 12.1 Classes of Nonstationary Data 12.2 Probability Structure of Nonstationary Data 12.3 Nonstationary Mean Values 12.4 Nonstationary Mean Square Values 12.5 Correlation Structure of Nonstationary Data 12.6 Spectral Structure of Nonstationary Data 12.7 Input/output Relations for Nonstationary Data 13 The Hilbert Transform 13.1 Hilbert Transforms for General Records 13.2 Hilbert Transforms for Correlation Functions 13.3 Envelope Detection Followed by Correlation 14 Nonlinear System Analysis 14.1 Zero - Memory and Finite-Memory Nonlinear Systems 14.2 Square - Law and Cubic Nonlinear Models 14.3 Volterra Nonlinear Models 14.4 SI/SO Mod Printed Pages: 640. N° de réf. du libraire 90141

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by Julius S. Bendat (Author), Allan G. Piersol (Author)
Edité par Wiley India Pvt Ltd; Fourth edition (10 December 2013) (2013)
ISBN 10 : 8126546042 ISBN 13 : 9788126546046
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Description du livre Wiley India Pvt Ltd; Fourth edition (10 December 2013), 2013. PAPERBACK. État : New. 8126546042. N° de réf. du libraire BCAD-9788126546046

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Allan G. Piersol (Author) by Julius S. Bendat (Author)
Edité par Wiley India Pvt Ltd; Fourth edition (10 December 2013) (2013)
ISBN 10 : 8126546042 ISBN 13 : 9788126546046
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Description du livre Wiley India Pvt Ltd; Fourth edition (10 December 2013), 2013. Paperback. État : New. book. N° de réf. du libraire 8126546042

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by Julius S. Bendat (Author), Allan G. P
Edité par Wiley India Pvt Ltd; Fourth ed (2013)
ISBN 10 : 8126546042 ISBN 13 : 9788126546046
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Description du livre Wiley India Pvt Ltd; Fourth ed, 2013. Paperback. État : New. N° de réf. du libraire P118126546042

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