Computer Simulation Validation

Table of Contents

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   Book Overview
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   Chapter 1 Introduction: Computer Simulation Validation
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   Chapter 2 What is Validation of Computer Simulations? Toward a Clarification of the Concept of Validation and of Related Notions
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   Chapter 3 Simulation Accuracy, Uncertainty, and Predictive Capability: A Physical Sciences Perspective
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   Chapter 4 Verification and Validation Principles from a Systems Perspective
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   Chapter 5 Errors and Uncertainties: Their Sources and Treatment
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   Chapter 6 Invalidation of Models and Fitness-for-Purpose: A Rejectionist Approach
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   Chapter 7 Simulation Validation from a Bayesian Perspective
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   Chapter 8 Validation of Computer Simulations from a Kuhnian Perspective
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    Chapter 9 Understanding Simulation Validation—The Hermeneutic Perspective
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    Chapter 10 Assessing the Credibility of Conceptual Models
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    Chapter 11 The Foundations of Verification in Modeling and Simulation
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    Chapter 12 The Method of Manufactured Solutions for Code Verification
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    Chapter 13 Validation Metrics: A Case for Pattern-Based Methods
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    Chapter 14 Analysing Output from Stochastic Computer Simulations: An Overview
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    Chapter 15 The Use of Experimental Data in Simulation Model Validation
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    Chapter 16 How to Use and Derive Stylized Facts for Validating Simulation Models
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    Chapter 17 The Users’ Judgements—The Stakeholder Approach to Simulation Validation
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    Chapter 18 Validation Benchmarks and Related Metrics
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    Chapter 19 Testing Simulation Models Using Frequentist Statistics
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    Chapter 20 Validation Using Bayesian Methods
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    Chapter 21 Imprecise Probabilities
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    Chapter 22 Objective Uncertainty Quantification
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    Chapter 23 Standards for Evaluation of Atmospheric Models in Environmental Meteorology
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    Chapter 24 The Management of Simulation Validation
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    Chapter 25 Valid and Reproducible Simulation Studies—Making It Explicit
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    Chapter 26 Validation of Particle Physics Simulation
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    Chapter 27 Validation in Fluid Dynamics and Related Fields
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    Chapter 28 Astrophysical Validation
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    Chapter 29 Validation in Weather Forecasting
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    Chapter 30 Validation of Climate Models: An Essential Practice
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    Chapter 31 Validation of Agent-Based Models in Economics and Finance
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    Chapter 32 Validation and Equifinality
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    Chapter 33 Validation and Over-Parameterization—Experiences from Hydrological Modeling
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    Chapter 34 Uncertainty Quantification Using Multiple Models—Prospects and Challenges
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    Chapter 35 Challenges to Simulation Validation in the Social Sciences. A Critical Rationalist Perspective
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    Chapter 36 Validation and the Uniqueness of Historical Events
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    Chapter 37 What is a Computer Simulation and What does this Mean for Simulation Validation?
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    Chapter 38 How Do the Validations of Simulations and Experiments Compare?
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    Chapter 39 How Does Holism Challenge the Validation of Computer Simulation?
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    Chapter 40 What Types of Values Enter Simulation Validation and What Are Their Roles?
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    Chapter 41 Calibration, Validation, and Confirmation
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    Chapter 42 Should Validation and Verification be Separated Strictly?
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    Chapter 43 The Multidimensional Epistemology of Computer Simulations: Novel Issues and the Need to Avoid the Drunkard’s Search Fallacy