Lindsey Butler on Test Science Research Document Library https://research.testscience.org/researchers/lindsey-butler/ Recent content in Lindsey Butler on Test Science Research Document Library Hugo -- 0.129.0 en-us Institute for Defense Analyses Sun, 01 Jan 2023 00:00:00 +0000 CDV Method for Validating AJEM using FUSL Test Data https://research.testscience.org/post/2023-cdv-method-for-validating-ajem-using-fusl-test-data/ Sun, 01 Jan 2023 00:00:00 +0000 https://research.testscience.org/post/2023-cdv-method-for-validating-ajem-using-fusl-test-data/ M&S validation is critical for ensuring credible weapon system evaluations. System-level evaluations of Armored Fighting Vehicles (AFV) rely on the Advanced Joint Effectiveness Model (AJEM) and Full-Up System Level (FUSL) testing to assess AFV vulnerability. This report reviews and improves upon one of the primary methods that analysts use to validate AJEM, called the Component Damage Vector (CDV) Method. The CDV Method compares vehicle components that were damaged in FUSL testing to simulated representations of that damage from AJEM. M&S validation is critical for ensuring credible weapon system evaluations. System-level evaluations of Armored Fighting Vehicles (AFV) rely on the Advanced Joint Effectiveness Model (AJEM) and Full-Up System Level (FUSL) testing to assess AFV vulnerability. This report reviews and improves upon one of the primary methods that analysts use to validate AJEM, called the Component Damage Vector (CDV) Method. The CDV Method compares vehicle components that were damaged in FUSL testing to simulated representations of that damage from AJEM. In the past, the CDV Method has employed a variety of different analysis techniques and results presentations. Many focused on low-level validation results, detailing each component that was damaged in each FUSL event. The unique contribution of this report, which complements past CDV efforts, is that it focuses on high-level results. This has three purposes (1) to provide a pithy, yet detailed, validation assessment for a given FUSL test series, (2) to discover high-level trends that cut across an entire FUSL test series, such as whether AJEM performed better for one type of threat versus another, and (3) to compare validation results between multiple FUSL test series.

Suggested Citation

Grimm, David K, Thomas H Johnson, Lindsey D Butler, Craig Andres, Julia Ivancik, and Russ Dibelka. Component Data Vector Methodology in Support of FUSL-AJEM Validation. IDA Product ID - 3002075. Alexandria, VA: Institute for Defense Analyses, 2024.

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]]> Sample Size Determination Methods Using Acceptance Sampling by Variables https://research.testscience.org/post/2019-sample-size-determination-methods-using-acceptance-sampling-by-variables/ Tue, 01 Jan 2019 00:00:00 +0000 https://research.testscience.org/post/2019-sample-size-determination-methods-using-acceptance-sampling-by-variables/ Acceptance Sampling by Variables (ASbV) is a statistical testing technique used in Personal Protective Equipment programs to determine the quality of the equipment in First Article and Lot Acceptance Tests. This article intends to remedy the lack of existing references that discuss the similarities between ASbV and certain techniques used in different sub-disciplines within statistics. Understanding ASbV from a statistical perspective allows testers to create customized test plans, beyond what is available in MIL-STD-414. Acceptance Sampling by Variables (ASbV) is a statistical testing technique used in Personal Protective Equipment programs to determine the quality of the equipment in First Article and Lot Acceptance Tests. This article intends to remedy the lack of existing references that discuss the similarities between ASbV and certain techniques used in different sub-disciplines within statistics. Understanding ASbV from a statistical perspective allows testers to create customized test plans, beyond what is available in MIL-STD-414.

Suggested Citation

Walzl, Kerry, Lindsey A Davis, Thomas H Johnson, and Heather M Wojton. Sample Size Determination Methods Using Acceptance Sampling by Variables. IDA Document NS D-10666. Alexandria, VA: Institute for Defense Analyses, 2019.

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