Transcription of Distributions for Uncertainty Analysis1
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Distributions for Uncertainty Analysis1
Distributions for Uncertainty Analysis1 Howard Castrup, President, Integrated Sciences Group Bakersfield, CA 93306 Abstract In performing a measurement, we encounter errors or biases from a number of sources. Such sources include random error, measuring parameter bias, measuring parameter resolution, operator bias, environmental factors, etc. We estimate the uncertainties due to these errors either by computing a standard deviation from a sample of measurements or by forming an estimate based on experience. Estimates obtained by the former method are labeled Type A estimates and those obtained by the latter method are called Type B estimates. This paper describes statistical Distributions that can be applied to both Type A and Type B measurement errors and to equipment parameter biases. Once the statistical distribution for a measurement error or bias is charac-terized, the Uncertainty in this error or bias is computed as the standard deviation of the distribution .
Distributions for Uncertainty Analysis1 Howard Castrup, Ph.D. President, Integrated Sciences Group Bakersfield, CA 93306 hcastrup@isgmax.com Abstract
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