A near real-time approach to statistical flight test is proposed that minimizes the number of test condition executions required to adequately describe system performance relative to a specified performance goal or specification, Four different statistical intervals, all based on the Student-t distribution and its generalization, are summarized and applied to aircraft night test scenarios. A graphical technique is developed with applicability to near real-time mission operations. Finally, probability statements are associated with sample set statistics and applied to performance goals or specification compliance.
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