Modelling Under Risk and Uncertainty: An Introduction to Statistical, Phenomenological and Computational Methods

0 avg rating
( 0 ratings by Goodreads )
 
9780470695142: Modelling Under Risk and Uncertainty: An Introduction to Statistical, Phenomenological and Computational Methods
View all copies of this ISBN edition:
 
 

Modelling has permeated virtually all areas of industrial,environmental, economic, bio-medical or civil engineering: yet theuse of models for decision-making raises a number of issues towhich this book is dedicated:

How uncertain is my model ? Is it truly valuable to supportdecision-making ? What kind of decision can be truly supported andhow can I handle residual uncertainty ? How much refined should themathematical description be, given the true data limitations ?Could the uncertainty be reduced through more data, increasedmodeling investment or computational budget ? Should it be reducednow or later ? How robust is the analysis or the computationalmethods involved ? Should / could those methods be more robust ?Does it make sense to handle uncertainty, risk, lack of knowledge,variability or errors altogether ? How reasonable is the choice ofprobabilistic modeling for rare events ? How rare are the events tobe considered ? How far does it make sense to handle extremeevents and elaborate confidence figures ? Can I take advantage ofexpert / phenomenological knowledge to tighten the probabilisticfigures ? Are there connex domains that could provide models orinspiration for my problem ?

Written by a leader at the crossroads of industry, academia andengineering, and based on decades of multi-disciplinary fieldexperience, Modelling Under Risk and Uncertainty gives aself-consistent introduction to the methods involved by any type ofmodeling development acknowledging the inevitable uncertainty andassociated risks. It goes beyond the “black-box” viewthat some analysts, modelers, risk experts or statisticians developon the underlying phenomenology of the environmental or industrialprocesses, without valuing enough their physical properties andinner modelling potential nor challenging the practicalplausibility of mathematical hypotheses; conversely it is also toattract environmental or engineering modellers to better handlemodel confidence issues through finer statistical and risk analysismaterial taking advantage of advanced scientific computing, to facenew regulations departing from deterministic design or supportrobust decision-making.

Modelling Under Risk and Uncertainty:

  • Addresses a concern of growing interest for large industries,environmentalists or analysts: robust modeling for decision-makingin complex systems.
  • Gives new insights into the peculiar mathematical andcomputational challenges generated by recent industrial safety orenvironmental control analysis for rare events.
  • Implements decision theory choices differentiating oraggregating the dimensions of risk/aleatory and epistemicuncertainty through a consistent multi-disciplinary set ofstatistical estimation, physical modelling, robust computation andrisk analysis.
  • Provides an original review of the advanced inverseprobabilistic approaches for model identification, calibration ordata assimilation, key to digest fast-growing multi-physical dataacquisition.
  • Illustrated with one favourite pedagogical example crossingnatural risk, engineering and economics, developed throughout thebook to facilitate the reading and understanding.
  • Supports Master/PhD-level course as well as advanced tutorialsfor professional training

Analysts and researchers in numerical modeling, appliedstatistics, scientific computing, reliability, advancedengineering, natural risk or environmental science will benefitfrom this book.

"synopsis" may belong to another edition of this title.

From the Back Cover:

Modelling Under Risk and Uncertainty goes beyond the‘black-box’ view that some risk analysts orstatisticians develop the underlying phenomenology of theenvironmental or industrial processes, without valuing enough theirphysical properties and inner modelling potential; conversely it isalso to attract environmental or engineering modellers to moreelaborate statistical and risk analysis material beyond forexample, elementary variance analysis, taking advantage of advancedscientific computing, to face new regulations departing fromdeterministic design or decision-making.

Modelling Under Risk and Uncertainty:

  • Addresses a concern of growing interest for large industries orenvironmentalists: risk and uncertainty in complex systems.
  • Gives news insight in to the peculiar mathematical challengesgenerated by recent industrial safety or environmental controlanalysis.
  • Looks at implementing decision theory choices related to riskand uncertainty analysis through statistical estimation andcomputation, in the presence of physical modelling and riskanalysis.
  • Discusses key issue of differentiating or aggregating thedimensions of risk/aleatory and epistemic uncertainty.
  • Illustrated with one favourite pedagogical example developedthroughout the book to facilitate the reading andunderstanding.

Researchers in applied statistics, scientific computing,reliability, advanced mechanics, physics or environmental sciencewill benefit from this book.

About the Author:

Etienne De Rocquigny is Senior Research fellow in Statistics in Risk and Environment at Electricite’ de France R&D He has 12 years of R&D and consulting experience in risk and environmental management. He has had consulting appointments and R&D contracts worldwide with the World Bank, the IMF, and UN as part of Sogreah consulting engineers. He is Chairman of the European Safety and Reliability & Data Society and Chairman of a consortium of French Industries on Uncertainty and Industry.

"About this title" may belong to another edition of this title.

Buy New View Book
List Price: US$ 127.00
US$ 93.58

Convert currency

Shipping: FREE
From United Kingdom to U.S.A.

Destination, rates & speeds

Add to Basket

Top Search Results from the AbeBooks Marketplace

1.

Etienne De Rocquigny
Published by John Wiley and Sons Ltd, United States (2012)
ISBN 10: 0470695145 ISBN 13: 9780470695142
New Hardcover First Edition Quantity Available: 10
Seller:
The Book Depository
(London, United Kingdom)
Rating
[?]

Book Description John Wiley and Sons Ltd, United States, 2012. Hardback. Condition: New. 1. Auflage. Language: English . Brand New Book. Modelling has permeated virtually all areas of industrial, environmental, economic, bio-medical or civil engineering: yet the use of models for decision-making raises a number of issues to which this book is dedicated: How uncertain is my model ? Is it truly valuable to support decision-making ? What kind of decision can be truly supported and how can I handle residual uncertainty ? How much refined should the mathematical description be, given the true data limitations ? Could the uncertainty be reduced through more data, increased modeling investment or computational budget ? Should it be reduced now or later ? How robust is the analysis or the computational methods involved ? Should / could those methods be more robust ? Does it make sense to handle uncertainty, risk, lack of knowledge, variability or errors altogether ? How reasonable is the choice of probabilistic modeling for rare events ? How rare are the events to be considered ? How far does it make sense to handle extreme events and elaborate confidence figures ? Can I take advantage of expert / phenomenological knowledge to tighten the probabilistic figures ? Are there connex domains that could provide models or inspiration for my problem ? Written by a leader at the crossroads of industry, academia and engineering, and based on decades of multi-disciplinary field experience, Modelling Under Risk and Uncertainty gives a self-consistent introduction to the methods involved by any type of modeling development acknowledging the inevitable uncertainty and associated risks. It goes beyond the black-box view that some analysts, modelers, risk experts or statisticians develop on the underlying phenomenology of the environmental or industrial processes, without valuing enough their physical properties and inner modelling potential nor challenging the practical plausibility of mathematical hypotheses; conversely it is also to attract environmental or engineering modellers to better handle model confidence issues through finer statistical and risk analysis material taking advantage of advanced scientific computing, to face new regulations departing from deterministic design or support robust decision-making. Modelling Under Risk and Uncertainty: * Addresses a concern of growing interest for large industries, environmentalists or analysts: robust modeling for decision-making in complex systems. * Gives new insights into the peculiar mathematical and computational challenges generated by recent industrial safety or environmental control analysis for rare events. * Implements decision theory choices differentiating or aggregating the dimensions of risk/aleatory and epistemic uncertainty through a consistent multi-disciplinary set of statistical estimation, physical modelling, robust computation and risk analysis. * Provides an original review of the advanced inverse probabilistic approaches for model identification, calibration or data assimilation, key to digest fast-growing multi-physical data acquisition. * Illustrated with one favourite pedagogical example crossing natural risk, engineering and economics, developed throughout the book to facilitate the reading and understanding. * Supports Master/PhD-level course as well as advanced tutorials for professional training Analysts and researchers in numerical modeling, applied statistics, scientific computing, reliability, advanced engineering, natural risk or environmental science will benefit from this book. Seller Inventory # AAH9780470695142

More information about this seller | Contact this seller

Buy New
US$ 93.58
Convert currency

Add to Basket

Shipping: FREE
From United Kingdom to U.S.A.
Destination, rates & speeds

2.

De Rocquigny, Etienne
Published by Wileyand#8211;Blackwell (2012)
ISBN 10: 0470695145 ISBN 13: 9780470695142
New Quantity Available: > 20
Seller:
Books2Anywhere
(Fairford, GLOS, United Kingdom)
Rating
[?]

Book Description Wileyand#8211;Blackwell, 2012. HRD. Condition: New. New Book. Shipped from UK in 4 to 14 days. Established seller since 2000. Seller Inventory # FW-9780470695142

More information about this seller | Contact this seller

Buy New
US$ 89.00
Convert currency

Add to Basket

Shipping: US$ 11.79
From United Kingdom to U.S.A.
Destination, rates & speeds

3.

Etienne De Rocquigny
Published by John Wiley and Sons Ltd, United States (2012)
ISBN 10: 0470695145 ISBN 13: 9780470695142
New Hardcover First Edition Quantity Available: 10
Seller:
Book Depository International
(London, United Kingdom)
Rating
[?]

Book Description John Wiley and Sons Ltd, United States, 2012. Hardback. Condition: New. 1. Auflage. Language: English. Brand new Book. Modelling has permeated virtually all areas of industrial, environmental, economic, bio-medical or civil engineering: yet the use of models for decision-making raises a number of issues to which this book is dedicated: How uncertain is my model ? Is it truly valuable to support decision-making ? What kind of decision can be truly supported and how can I handle residual uncertainty ? How much refined should the mathematical description be, given the true data limitations ? Could the uncertainty be reduced through more data, increased modeling investment or computational budget ? Should it be reduced now or later ? How robust is the analysis or the computational methods involved ? Should / could those methods be more robust ? Does it make sense to handle uncertainty, risk, lack of knowledge, variability or errors altogether ? How reasonable is the choice of probabilistic modeling for rare events ? How rare are the events to be considered ? How far does it make sense to handle extreme events and elaborate confidence figures ? Can I take advantage of expert / phenomenological knowledge to tighten the probabilistic figures ?Are there connex domains that could provide models or inspiration for my problem ? Written by a leader at the crossroads of industry, academia and engineering, and based on decades of multi-disciplinary field experience, Modelling Under Risk and Uncertainty gives a self-consistent introduction to the methods involved by any type of modeling development acknowledging the inevitable uncertainty and associated risks. It goes beyond the black-box view that some analysts, modelers, risk experts or statisticians develop on the underlying phenomenology of the environmental or industrial processes, without valuing enough their physical properties and inner modelling potential nor challenging the practical plausibility of mathematical hypotheses; conversely it is also to attract environmental or engineering modellers to better handle model confidence issues through finer statistical and risk analysis material taking advantage of advanced scientific computing, to face new regulations departing from deterministic design or support robust decision-making.Modelling Under Risk and Uncertainty: * Addresses a concern of growing interest for large industries, environmentalists or analysts: robust modeling for decision-making in complex systems. * Gives new insights into the peculiar mathematical and computational challenges generated by recent industrial safety or environmental control analysis for rare events. * Implements decision theory choices differentiating or aggregating the dimensions of risk/aleatory and epistemic uncertainty through a consistent multi-disciplinary set of statistical estimation, physical modelling, robust computation and risk analysis. * Provides an original review of the advanced inverse probabilistic approaches for model identification, calibration or data assimilation, key to digest fast-growing multi-physical data acquisition. * Illustrated with one favourite pedagogical example crossing natural risk, engineering and economics, developed throughout the book to facilitate the reading and understanding.* Supports Master/PhD-level course as well as advanced tutorials for professional training Analysts and researchers in numerical modeling, applied statistics, scientific computing, reliability, advanced engineering, natural risk or environmental science will benefit from this book. Seller Inventory # AAH9780470695142

More information about this seller | Contact this seller

Buy New
US$ 101.06
Convert currency

Add to Basket

Shipping: FREE
From United Kingdom to U.S.A.
Destination, rates & speeds

4.

Etienne de Rocquigny (author)
Published by Wiley 2012-04-19, Hoboken, NJ (2012)
ISBN 10: 0470695145 ISBN 13: 9780470695142
New Hardcover Quantity Available: 10
Seller:
Blackwell's
(Oxford, OX, United Kingdom)
Rating
[?]

Book Description Wiley 2012-04-19, Hoboken, NJ, 2012. hardback. Condition: New. Seller Inventory # 9780470695142

More information about this seller | Contact this seller

Buy New
US$ 91.76
Convert currency

Add to Basket

Shipping: US$ 9.83
From United Kingdom to U.S.A.
Destination, rates & speeds

5.

Etienne de Rocquigny
Published by John Wiley and Sons Ltd
ISBN 10: 0470695145 ISBN 13: 9780470695142
New Hardcover Quantity Available: > 20
Seller:
THE SAINT BOOKSTORE
(Southport, United Kingdom)
Rating
[?]

Book Description John Wiley and Sons Ltd. Hardback. Condition: New. New copy - Usually dispatched within 2 working days. Seller Inventory # B9780470695142

More information about this seller | Contact this seller

Buy New
US$ 92.63
Convert currency

Add to Basket

Shipping: US$ 9.09
From United Kingdom to U.S.A.
Destination, rates & speeds

6.

Etienne de Rocquigny (Electricite De France)
Published by John Wiley and Sons
ISBN 10: 0470695145 ISBN 13: 9780470695142
New Quantity Available: > 20
Seller:
INDOO
(Avenel, NJ, U.S.A.)
Rating
[?]

Book Description John Wiley and Sons. Condition: New. Brand New. Seller Inventory # 0470695145

More information about this seller | Contact this seller

Buy New
US$ 100.00
Convert currency

Add to Basket

Shipping: US$ 3.60
Within U.S.A.
Destination, rates & speeds

7.

ETIENNE DE ROCQUIGNY
ISBN 10: 0470695145 ISBN 13: 9780470695142
New Hardcover Quantity Available: 1
Seller:
Herb Tandree Philosophy Books
(Stroud, GLOS, United Kingdom)
Rating
[?]

Book Description 2012. Hardback. Condition: NEW. 9780470695142 This listing is a new book, a title currently in-print which we order directly and immediately from the publisher. For all enquiries, please contact Herb Tandree Philosophy Books directly - customer service is our primary goal. Seller Inventory # HTANDREE0782335

More information about this seller | Contact this seller

Buy New
US$ 118.02
Convert currency

Add to Basket

Shipping: US$ 10.46
From United Kingdom to U.S.A.
Destination, rates & speeds

8.

Etienne De Rocquigny
Published by John Wiley and Sons Ltd, United States (2012)
ISBN 10: 0470695145 ISBN 13: 9780470695142
New Hardcover First Edition Quantity Available: 10
Seller:
Book Depository hard to find
(London, United Kingdom)
Rating
[?]

Book Description John Wiley and Sons Ltd, United States, 2012. Hardback. Condition: New. 1. Auflage. Language: English. Brand new Book. Modelling has permeated virtually all areas of industrial, environmental, economic, bio-medical or civil engineering: yet the use of models for decision-making raises a number of issues to which this book is dedicated: How uncertain is my model ? Is it truly valuable to support decision-making ? What kind of decision can be truly supported and how can I handle residual uncertainty ? How much refined should the mathematical description be, given the true data limitations ? Could the uncertainty be reduced through more data, increased modeling investment or computational budget ? Should it be reduced now or later ? How robust is the analysis or the computational methods involved ? Should / could those methods be more robust ? Does it make sense to handle uncertainty, risk, lack of knowledge, variability or errors altogether ? How reasonable is the choice of probabilistic modeling for rare events ? How rare are the events to be considered ? How far does it make sense to handle extreme events and elaborate confidence figures ? Can I take advantage of expert / phenomenological knowledge to tighten the probabilistic figures ?Are there connex domains that could provide models or inspiration for my problem ? Written by a leader at the crossroads of industry, academia and engineering, and based on decades of multi-disciplinary field experience, Modelling Under Risk and Uncertainty gives a self-consistent introduction to the methods involved by any type of modeling development acknowledging the inevitable uncertainty and associated risks. It goes beyond the black-box view that some analysts, modelers, risk experts or statisticians develop on the underlying phenomenology of the environmental or industrial processes, without valuing enough their physical properties and inner modelling potential nor challenging the practical plausibility of mathematical hypotheses; conversely it is also to attract environmental or engineering modellers to better handle model confidence issues through finer statistical and risk analysis material taking advantage of advanced scientific computing, to face new regulations departing from deterministic design or support robust decision-making.Modelling Under Risk and Uncertainty: * Addresses a concern of growing interest for large industries, environmentalists or analysts: robust modeling for decision-making in complex systems. * Gives new insights into the peculiar mathematical and computational challenges generated by recent industrial safety or environmental control analysis for rare events. * Implements decision theory choices differentiating or aggregating the dimensions of risk/aleatory and epistemic uncertainty through a consistent multi-disciplinary set of statistical estimation, physical modelling, robust computation and risk analysis. * Provides an original review of the advanced inverse probabilistic approaches for model identification, calibration or data assimilation, key to digest fast-growing multi-physical data acquisition. * Illustrated with one favourite pedagogical example crossing natural risk, engineering and economics, developed throughout the book to facilitate the reading and understanding.* Supports Master/PhD-level course as well as advanced tutorials for professional training Analysts and researchers in numerical modeling, applied statistics, scientific computing, reliability, advanced engineering, natural risk or environmental science will benefit from this book. Seller Inventory # BTE9780470695142

More information about this seller | Contact this seller

Buy New
US$ 130.51
Convert currency

Add to Basket

Shipping: FREE
From United Kingdom to U.S.A.
Destination, rates & speeds

9.

Etienne de Rocquigny
Published by Wiley (2012)
ISBN 10: 0470695145 ISBN 13: 9780470695142
New Hardcover Quantity Available: 1
Seller:
Irish Booksellers
(Portland, ME, U.S.A.)
Rating
[?]

Book Description Wiley, 2012. Condition: New. book. Seller Inventory # MB00DDSSXIC

More information about this seller | Contact this seller

Buy New
US$ 140.64
Convert currency

Add to Basket

Shipping: US$ 3.27
Within U.S.A.
Destination, rates & speeds

10.

De Rocquigny, Etienne
Published by John Wiley & Sons Inc (2012)
ISBN 10: 0470695145 ISBN 13: 9780470695142
New Hardcover Quantity Available: 2
Seller:
Revaluation Books
(Exeter, United Kingdom)
Rating
[?]

Book Description John Wiley & Sons Inc, 2012. Hardcover. Condition: Brand New. 1st edition. 484 pages. 10.00x6.75x1.25 inches. In Stock. Seller Inventory # __0470695145

More information about this seller | Contact this seller

Buy New
US$ 135.58
Convert currency

Add to Basket

Shipping: US$ 9.83
From United Kingdom to U.S.A.
Destination, rates & speeds

There are more copies of this book

View all search results for this book