This handbook focuses on methods for data-driven validation to supplement the vast existing literature for Verification, Validation, and Accreditation (VV&A) and the emerging references on uncertainty quantification (UQ). The goal of this handbook is to aid the test and evaluation (T&E) community in developing test strategies that support model validation (both external validation and parametric analysis) and statistical UQ.

Suggested Citation

Wojton, Heather, Kelly M Avery, Laura J Freeman, Samuel H Parry, Gregory S Whittier, Thomas H Johnson, and Andrew C Flack. Handbook on Statistical Design & Analysis Techniques for Modeling & Simulation Validation. IDA Document NS D-10455. Alexandria, VA: Institute for Defense Analyses, 2019.

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