The Resource Data modeling for metrology and testing in measurement science, Franco Pavese, Alistair B. Forbes, editors
Data modeling for metrology and testing in measurement science, Franco Pavese, Alistair B. Forbes, editors
Resource Information
The item Data modeling for metrology and testing in measurement science, Franco Pavese, Alistair B. Forbes, editors represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Missouri Libraries.This item is available to borrow from 1 library branch.
Resource Information
The item Data modeling for metrology and testing in measurement science, Franco Pavese, Alistair B. Forbes, editors represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Missouri Libraries.
This item is available to borrow from 1 library branch.
 Summary
 This book and companion DVD provide a comprehensive set of modeling methods for data and uncertainty analysis, taking readers beyond mainstream methods described in standard texts. The emphasis throughout is on techniques having a broad range of realworld applications in measurement science. Mainstream methods of data modeling and analysis typically rely on certain assumptions that do not hold for many practical applications. Developed in this work are methods and computational tools to address general models that arise in practice, allowing for a more valid treatment of calibration and test data and providing a deeper understanding of complex situations in measurement science. Additional features and topics of the book include: * Introduction to modeling principles in metrology and testing * Presentation of a basic probability framework in metrology and statistical approaches to uncertainty assessment * Discussion of the latest developments in data analysis using least squares, Fast Fourier Transform, wavelets, and fuzzy logic methods * Data fusion using neural networks, fuzzy methods, decision making, and risk analysis * A computerassisted, rigorous approach to data evaluation and analysis of measurement software validity * Introduction to virtual instruments, and an overview of IT tools for measurement science Data Modeling for Metrology and Testing in Measurement Science may be used as a textbook in graduate courses on data modeling and computational methods, or as a training manual in the fields of calibration and testing. The book will also serve as an excellent reference for metrologists, mathematicians, statisticians, software engineers, chemists, and other practitioners with a general interest in measurement science
 Language
 eng
 Extent
 1 online resource (xvii, 489 pages)
 Note
 The accompanying DVD contains tutorials, sample code, and software packages with demonstrations enabling readers to test and use tools presented in the book without having to write their own codepage 4 of cover
 Contents

 An Introduction to Data Modeling Principles in Metrology and Testing
 Probability in Metrology
 Three Statistical Paradigms for the Assessment and Interpretation of Measurement Uncertainty
 Interval Computations and IntervalRelated Statistical Techniques: Tools for Estimating Uncertainty of the Results of Data Processing and Indirect Measurements
 Parameter Estimation Based on Least Squares Methods
 Frequency and Time#x2014;Frequency Domain Analysis Tools in Measurement
 Data Fusion, DecisionMaking, and Risk Analysis: Mathematical Tools and Techniques
 Comparing Results of Chemical Measurements: Some Basic Questions from Practice
 Modelling of Measurements, System Theory and Uncertainty Evaluation
 Approaches to Data Assessment and Uncertainty Estimation in Testing
 Monte Carlo Modeling of Randomness
 Software Validation and Preventive Software Quality Assurance for Metrology
 Virtual Istrumentation
 InternetEnabled Metrology
 Isbn
 9780817648046
 Label
 Data modeling for metrology and testing in measurement science
 Title
 Data modeling for metrology and testing in measurement science
 Statement of responsibility
 Franco Pavese, Alistair B. Forbes, editors
 Subject

 Datenanalyse  Metrologie  Statistisches Modell
 MATHEMATICS  Measurement
 Measurement
 Measurement
 Measurement
 Metrologie  Datenanalyse  Statistisches Modell
 Metrology
 Metrology
 Metrology
 Multisensor data fusion
 Multisensor data fusion
 Multisensor data fusion
 Statistisches Modell  Datenanalyse  Metrologie
 TECHNOLOGY & ENGINEERING  Measurement
 Language
 eng
 Summary
 This book and companion DVD provide a comprehensive set of modeling methods for data and uncertainty analysis, taking readers beyond mainstream methods described in standard texts. The emphasis throughout is on techniques having a broad range of realworld applications in measurement science. Mainstream methods of data modeling and analysis typically rely on certain assumptions that do not hold for many practical applications. Developed in this work are methods and computational tools to address general models that arise in practice, allowing for a more valid treatment of calibration and test data and providing a deeper understanding of complex situations in measurement science. Additional features and topics of the book include: * Introduction to modeling principles in metrology and testing * Presentation of a basic probability framework in metrology and statistical approaches to uncertainty assessment * Discussion of the latest developments in data analysis using least squares, Fast Fourier Transform, wavelets, and fuzzy logic methods * Data fusion using neural networks, fuzzy methods, decision making, and risk analysis * A computerassisted, rigorous approach to data evaluation and analysis of measurement software validity * Introduction to virtual instruments, and an overview of IT tools for measurement science Data Modeling for Metrology and Testing in Measurement Science may be used as a textbook in graduate courses on data modeling and computational methods, or as a training manual in the fields of calibration and testing. The book will also serve as an excellent reference for metrologists, mathematicians, statisticians, software engineers, chemists, and other practitioners with a general interest in measurement science
 Cataloging source
 OSU
 Dewey number
 530.8
 Illustrations
 illustrations
 Index
 index present
 LC call number
 QA465
 LC item number
 .D38 2009
 Literary form
 non fiction
 NAL call number
 QA465
 NAL item number
 .D38 2009
 Nature of contents

 dictionaries
 bibliography
 http://library.link/vocab/relatedWorkOrContributorName

 Pavese, Franco
 Forbes, Alistair B
 Series statement
 Modeling and simulation in science, engineering and technology
 http://library.link/vocab/subjectName

 Metrology
 Measurement
 Multisensor data fusion
 TECHNOLOGY & ENGINEERING
 MATHEMATICS
 Measurement
 Metrology
 Multisensor data fusion
 Metrologie
 Datenanalyse
 Statistisches Modell
 Label
 Data modeling for metrology and testing in measurement science, Franco Pavese, Alistair B. Forbes, editors
 Note
 The accompanying DVD contains tutorials, sample code, and software packages with demonstrations enabling readers to test and use tools presented in the book without having to write their own codepage 4 of cover
 Bibliography note
 Includes bibliographical references and index
 Carrier category
 online resource
 Carrier category code

 cr
 Carrier MARC source
 rdacarrier
 Color
 mixed
 Content category
 text
 Content type code

 txt
 Content type MARC source
 rdacontent
 Contents
 An Introduction to Data Modeling Principles in Metrology and Testing  Probability in Metrology  Three Statistical Paradigms for the Assessment and Interpretation of Measurement Uncertainty  Interval Computations and IntervalRelated Statistical Techniques: Tools for Estimating Uncertainty of the Results of Data Processing and Indirect Measurements  Parameter Estimation Based on Least Squares Methods  Frequency and Time#x2014;Frequency Domain Analysis Tools in Measurement  Data Fusion, DecisionMaking, and Risk Analysis: Mathematical Tools and Techniques  Comparing Results of Chemical Measurements: Some Basic Questions from Practice  Modelling of Measurements, System Theory and Uncertainty Evaluation  Approaches to Data Assessment and Uncertainty Estimation in Testing  Monte Carlo Modeling of Randomness  Software Validation and Preventive Software Quality Assurance for Metrology  Virtual Istrumentation  InternetEnabled Metrology
 Control code
 428731929
 Dimensions
 unknown
 Extent
 1 online resource (xvii, 489 pages)
 Form of item
 online
 Isbn
 9780817648046
 Lccn
 2008938171
 Media category
 computer
 Media MARC source
 rdamedia
 Media type code

 c
 Other control number
 10.1007/9780817648046
 Other physical details
 illustrations (some color).
 http://library.link/vocab/ext/overdrive/overdriveId
 9780817645922
 Specific material designation
 remote
 System control number
 (OCoLC)428731929
 Label
 Data modeling for metrology and testing in measurement science, Franco Pavese, Alistair B. Forbes, editors
 Note
 The accompanying DVD contains tutorials, sample code, and software packages with demonstrations enabling readers to test and use tools presented in the book without having to write their own codepage 4 of cover
 Bibliography note
 Includes bibliographical references and index
 Carrier category
 online resource
 Carrier category code

 cr
 Carrier MARC source
 rdacarrier
 Color
 mixed
 Content category
 text
 Content type code

 txt
 Content type MARC source
 rdacontent
 Contents
 An Introduction to Data Modeling Principles in Metrology and Testing  Probability in Metrology  Three Statistical Paradigms for the Assessment and Interpretation of Measurement Uncertainty  Interval Computations and IntervalRelated Statistical Techniques: Tools for Estimating Uncertainty of the Results of Data Processing and Indirect Measurements  Parameter Estimation Based on Least Squares Methods  Frequency and Time#x2014;Frequency Domain Analysis Tools in Measurement  Data Fusion, DecisionMaking, and Risk Analysis: Mathematical Tools and Techniques  Comparing Results of Chemical Measurements: Some Basic Questions from Practice  Modelling of Measurements, System Theory and Uncertainty Evaluation  Approaches to Data Assessment and Uncertainty Estimation in Testing  Monte Carlo Modeling of Randomness  Software Validation and Preventive Software Quality Assurance for Metrology  Virtual Istrumentation  InternetEnabled Metrology
 Control code
 428731929
 Dimensions
 unknown
 Extent
 1 online resource (xvii, 489 pages)
 Form of item
 online
 Isbn
 9780817648046
 Lccn
 2008938171
 Media category
 computer
 Media MARC source
 rdamedia
 Media type code

 c
 Other control number
 10.1007/9780817648046
 Other physical details
 illustrations (some color).
 http://library.link/vocab/ext/overdrive/overdriveId
 9780817645922
 Specific material designation
 remote
 System control number
 (OCoLC)428731929
Subject
 Datenanalyse  Metrologie  Statistisches Modell
 MATHEMATICS  Measurement
 Measurement
 Measurement
 Measurement
 Metrologie  Datenanalyse  Statistisches Modell
 Metrology
 Metrology
 Metrology
 Multisensor data fusion
 Multisensor data fusion
 Multisensor data fusion
 Statistisches Modell  Datenanalyse  Metrologie
 TECHNOLOGY & ENGINEERING  Measurement
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