Please use this identifier to cite or link to this item:
https://dair.nps.edu/handle/123456789/1462
Title: | Decision-Based Metrics for Test and Evaluation Experiments |
Authors: | Dashi Singham |
Keywords: | Decision-Based Metrics Test and Evaluation Experiments Procedures |
Issue Date: | 30-Mar-2017 |
Publisher: | Acquisition Research Program |
Citation: | Published--Unlimited Distribution |
Series/Report no.: | Test and Evaluation SYM-AM-17-082 |
Abstract: | We develop a new decision-based metric for determining sample sizes in Test and Evaluation experiments. Traditional confidence intervals for the mean can be used, and we present sequential confidence interval procedures as a way to derive efficient intervals. We discuss decision rules for analyzing the observed output and how to choose confidence interval methods for calibrating these decision rules. The metric presented can help determine if a fast decision on the quality of the system can be made or if many more tests are needed to ensure an accurate estimate of performance relative to a desired standard. |
Description: | Acquisition Management / Defense Acquisition Community Contributor |
URI: | https://dair.nps.edu/handle/123456789/1462 |
Appears in Collections: | Annual Acquisition Research Symposium Proceedings & Presentations |
Files in This Item:
File | Size | Format | |
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SYM-AM-17-082.pdf | 288.05 kB | Adobe PDF | View/Open |
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