This unique volume introduces and discusses the methods of validating computer simulations in scientific research. The core concepts, strategies, and techniques of validation are explained by an international team of pre-eminent authorities, drawing on expertise from various fields ranging from engineering and the physical sciences to the social sciences and history. The work also offers new and original philosophical perspectives on the validation of simulations.
Topics and features:
This truly interdisciplinary handbook will appeal to a broad audience, from professional scientists spanning all natural and social sciences, to young scholars new to research with computer simulations. Philosophers of science, and methodologists seeking to increase their understanding of simulation validation, will also find much to benefit from in the text.
Prof. Dr. Dr. Claus Beisbart is Professor for Philosophyof Science (Extraordinarius) in the Institute for Philosophy at the University of Bern, Switzerland. Prof. Dr. Nicole J. Saam is Professor for Sociology (Chair) in the Institute of Sociology at Friedrich-Alexander University Erlangen-Nürnberg, Germany.
Autorentext
Prof. Dr. Dr. Claus Beisbart is Professor for Philosophy of Science (Extraordinarius) in the Institute for Philosophy at the University of Bern, Switzerland.
Prof. Dr. Nicole J. Saam is Professor for Sociology (Chair) in the Institute of Sociology at Friedrich-Alexander University Erlangen-Nürnberg, Germany.
Inhalt
Introduction
Part I: Foundations Basic Conceptions in Simulation Model Validation
What Is Validation of Computer Simulations? Towards a Clarification of the Concept of Validation and Related Notions
Claus Beisbart
Simulation Accuracy, Uncertainty, and Predictive Capability: A Physical Sciences Perspective
William Oberkampf
Verification and Validation Principles from a Systems Perspective
David J. Murray-Smith
Errors and Uncertainties: Their Sources and Treatment
Christopher J. Roy
Part II: Foundations Validation as a Scientific Method: Philosophical Frameworks for Thinking about Validation
Invalidation of Models and Fitness-for-purpose: A Rejectionist Approach
Keith Beven & Stuart Lane
Simulation Validation from a Bayesian Perspective
Claus Beisbart
Validation of Computer Simulations from a Kuhnian Perspective
Eckhart Arnold
Understanding Simulation Validation The Hermeneutic Perspective
Nicole J. Saam
Part III: Methodology Preparatory Steps
Assessing the Credibility of Conceptual Models
Axel Gelfert
The Foundations of Verification in Modeling and Simulation
William J. Rider
The Method of Manufactured Solutions for Code Verification
Patrick J. Roache
Validation Metrics: A Case for Pattern-based Methods
Robert E. Marks
Analyzing Output from Stochastic Computer Simulations: An Overview
Christine Currie
Part IV: Methodology Points of Reference and Related Techniques
The Use of Experimental Data in Simulation Model Validation
David J. Murray-Smith
How to Use and Derive Stylized Facts for Validating Simulation Models
Matthias Meyer
The Users' Judgements The Stakeholder Approach to Simulation Validation
Nicole J. Saam
Validation Benchmarks and Related Metrics
Nicole J. Saam
Part V: Methodology Mathematical Frameworks and Related Techniques
Testing Simulation Models Using Frequentist Statistics
Andrew P. Robinson
Validation Using Bayesian Methods
Xiaomo Jiang, Xueyu Cheng & Yong Yuan
Imprecise Probabilities
Seamus Bradley
Objective Uncertainty Quantification
Ed Dougherty, Lori Dalton & Roozbeh Dehghannasiri
Part VI: Methodology The Organization and Management of Simulation Validation
Standards for Evaluation of Atmospheric Models in Environmental Meteorology
K. Heinke Schluenzen
The Management of Simulation Validation
Fei Liu &Ming Yang
Valid and Reproducible Simulation Studies - Making It Explicit
Oliver Reinhardt, Tom Warnke, Andreas Ruscheinski & Adelinde M. Uhrmacher
Part VII: Validation at Work Best Practice-Examples
Validation of Particle Physics Simulation
Peter Mättig
Validation in Fluid Dynamics and Related Fields
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