Decision-Based Metrics for Test and Evaluation Experiments
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Authors
Singham, Dashi
Subjects
Advisors
Date of Issue
2017-03
Date
2017-03
Publisher
Monterey, California. Naval Postgraduate School
Language
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.
Type
Report
Description
Series/Report No
Department
Organization
Acquisition Research Program (ARP)
Identifiers
NPS Report Number
SYM-AM-17-082
Sponsors
Naval Postgraduate School Acquisition Research Program
Funder
Format
Citation
Distribution Statement
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.