The Resource Modelling under risk and uncertainty : an introduction to statistical, phenomenological and computational methods, Etienne de Rocquigny
Modelling under risk and uncertainty : an introduction to statistical, phenomenological and computational methods, Etienne de Rocquigny
Resource Information
The item Modelling under risk and uncertainty : an introduction to statistical, phenomenological and computational methods, Etienne de Rocquigny represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in Missouri University of Science & Technology Library.This item is available to borrow from 1 library branch.
Resource Information
The item Modelling under risk and uncertainty : an introduction to statistical, phenomenological and computational methods, Etienne de Rocquigny represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in Missouri University of Science & Technology Library.
This item is available to borrow from 1 library branch.
 Summary
 "This volume addresses a concern of very high relevance and growing interest for large industries or environmentalists: risk and uncertainty in complex systems. It gives new insight on the peculiar mathematical challenges generated by recent industrial safety or environmental control analysis, focusing on implementing decision theory choices related to risk and uncertainty analysis through statistical estimation and computation, in the presence of physical modeling and risk analysis. The result will lead statisticians and associated professionals to formulate and solve new challenges at the frontier between statistical modeling, physics, scientific computing, and risk analysis"
 Language
 eng
 Extent
 1 online resource (xxxviii, 434 pages)
 Contents

 Applications and practices of modelling, risk and uncertainty
 A generic modelling framework
 A generic tutorial example: natural risk in an industrial installation
 Understanding natures of uncertainty, risk margins and time bases for probabilistic decisionmaking
 Direct statistical estimation techniques
 Combined model estimation through inverse techniques
 Computational methods for risk and uncertainty propagation
 Optimising under uncertainty: economics and computational challenges
 Conclusion: perspectives of modelling in the context of risk and uncertainty and further research
 Isbn
 9781119969501
 Label
 Modelling under risk and uncertainty : an introduction to statistical, phenomenological and computational methods
 Title
 Modelling under risk and uncertainty
 Title remainder
 an introduction to statistical, phenomenological and computational methods
 Statement of responsibility
 Etienne de Rocquigny
 Title variation
 Modeling under risk and uncertainty
 Subject

 Electronic books
 Industrial management  Mathematical models
 Industrial management  Mathematical models
 MATHEMATICS / Probability & Statistics / General
 Risk management  Mathematical models
 Risk management  Mathematical models
 Uncertainty  Mathematical models
 Uncertainty  Mathematical models
 Language
 eng
 Summary
 "This volume addresses a concern of very high relevance and growing interest for large industries or environmentalists: risk and uncertainty in complex systems. It gives new insight on the peculiar mathematical challenges generated by recent industrial safety or environmental control analysis, focusing on implementing decision theory choices related to risk and uncertainty analysis through statistical estimation and computation, in the presence of physical modeling and risk analysis. The result will lead statisticians and associated professionals to formulate and solve new challenges at the frontier between statistical modeling, physics, scientific computing, and risk analysis"
 Assigning source
 Provided by publisher
 Cataloging source
 E7B
 http://library.link/vocab/creatorName
 Rocquigny, Etienne de
 Dewey number
 338.501/5195
 Illustrations

 illustrations
 charts
 Index
 index present
 LC call number
 HD30.25
 LC item number
 .R63 2012eb
 Literary form
 non fiction
 Nature of contents

 dictionaries
 bibliography
 Series statement
 Wiley series in probability and statistics
 http://library.link/vocab/subjectName

 Industrial management
 Uncertainty
 Risk management
 Industrial management
 Risk management
 Uncertainty
 MATHEMATICS / Probability & Statistics / General
 Label
 Modelling under risk and uncertainty : an introduction to statistical, phenomenological and computational methods, Etienne de Rocquigny
 Bibliography note
 Includes bibliographical references and index
 Carrier category
 online resource
 Carrier category code

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

 txt
 Content type MARC source
 rdacontent
 Contents
 Applications and practices of modelling, risk and uncertainty  A generic modelling framework  A generic tutorial example: natural risk in an industrial installation  Understanding natures of uncertainty, risk margins and time bases for probabilistic decisionmaking  Direct statistical estimation techniques  Combined model estimation through inverse techniques  Computational methods for risk and uncertainty propagation  Optimising under uncertainty: economics and computational challenges  Conclusion: perspectives of modelling in the context of risk and uncertainty and further research
 Control code
 797823731
 Dimensions
 unknown
 Extent
 1 online resource (xxxviii, 434 pages)
 Form of item
 online
 Isbn
 9781119969501
 Media category
 computer
 Media MARC source
 rdamedia
 Media type code

 c
 Other physical details
 illustrations.
 http://library.link/vocab/ext/overdrive/overdriveId
 cl0500000239
 Specific material designation
 remote
 System control number
 (OCoLC)797823731
 Label
 Modelling under risk and uncertainty : an introduction to statistical, phenomenological and computational methods, Etienne de Rocquigny
 Bibliography note
 Includes bibliographical references and index
 Carrier category
 online resource
 Carrier category code

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

 txt
 Content type MARC source
 rdacontent
 Contents
 Applications and practices of modelling, risk and uncertainty  A generic modelling framework  A generic tutorial example: natural risk in an industrial installation  Understanding natures of uncertainty, risk margins and time bases for probabilistic decisionmaking  Direct statistical estimation techniques  Combined model estimation through inverse techniques  Computational methods for risk and uncertainty propagation  Optimising under uncertainty: economics and computational challenges  Conclusion: perspectives of modelling in the context of risk and uncertainty and further research
 Control code
 797823731
 Dimensions
 unknown
 Extent
 1 online resource (xxxviii, 434 pages)
 Form of item
 online
 Isbn
 9781119969501
 Media category
 computer
 Media MARC source
 rdamedia
 Media type code

 c
 Other physical details
 illustrations.
 http://library.link/vocab/ext/overdrive/overdriveId
 cl0500000239
 Specific material designation
 remote
 System control number
 (OCoLC)797823731
Subject
 Electronic books
 Industrial management  Mathematical models
 Industrial management  Mathematical models
 MATHEMATICS / Probability & Statistics / General
 Risk management  Mathematical models
 Risk management  Mathematical models
 Uncertainty  Mathematical models
 Uncertainty  Mathematical models
Genre
Member of
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<div class="citation" vocab="http://schema.org/"><i class="fa faexternallinksquare fafw"></i> Data from <span resource="http://link.library.mst.edu/portal/Modellingunderriskanduncertaintyan/__JsiMw_z9o/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.library.mst.edu/portal/Modellingunderriskanduncertaintyan/__JsiMw_z9o/">Modelling under risk and uncertainty : an introduction to statistical, phenomenological and computational methods, Etienne de Rocquigny</a></span>  <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.library.mst.edu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.library.mst.edu/">Missouri University of Science & Technology Library</a></span></span></span></span></div>