Bruceton analysis
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A Bruceton Analysis is one way of analyzing a sensitivity test of explosives as described originally by Dixon and Mood in 1948. Also known as the "Up and Down Test," a Bruceton analysis relies upon two parameters: first stimulus and step size. A stimulus is provided to the sample, and the results noted. If a positive result is noted, then the stimulus is decremented by the step size. If a negative result occurs, the stimulus is increased. The test continues with each sample tested at a stimulus 1 step up or down from the previous stimulus if the previous result was negative or positive.
The results are tabulated and analyzed via Bruceton analysis, a simple computation of sums that can be performed by pencil and paper, to provide estimates of the mean and standard deviation. Confidence estimates are also produced. Another analysis method is the Neyer d-optimal test and its related Likelihood Ratio Analysis method. These methods are often called the Neyer test.
[edit] References
- J. W. Dixon and A. M. Mood (1948), "A Method for Obtaining and Analyzing Sensitivity Data," Journal of the American Statistical Association, 43, pp. 109-126.
- B. T. Neyer (1994), "A D-Optimality-Based Sensitivity Test," Technometrics, 36, pp. 61-70.