Metamodeling Techniques for Verification and Validation of Modeling and Simulation Data

Modeling and simulation (M&S) outputs help the Director, Operational Test and Evaluation (DOT&E) assess the effectiveness, survivability, lethality, and suitability of systems. To use M&S outputs, DOT&E needs models and simulators to be sufficiently verified and validated. The purpose of this paper is to improve the state of verification and validation by recommending and demonstrating a set of statistical techniques—metamodels, also called statistical emulators—to the M&S community. The paper expands on DOT&E’s existing guidance about metamodel usage by creating methodological recommendations the M&S community could apply to its activities....

2022 · John Haman, Curtis Miller

What Statisticians Should Do to Improve M&S Validation Studies

It is often said that many research findings – from social sciences, medicine, economics, and other disciplines – are false. This fact is trumpeted in the media and by many statisticians. There are several reasons that false research is published, but to what extent should we be worried about them in defense testing and modeling and simulation? In this talk I will present several recommendations for actions that statisticians and data scientists can take to improve the quality of our validations and evaluations....

2022 · John Haman