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Abstract
A method for assessing the statistical variability of emission deterioration factors is constructed. The deterioration factor is the ratio of the least squares estimate of the mean emission at 50,000 miles to the least squares estimate of the mean emission at 4,000 miles. The ratio of the true mean emission responses at two given mileages is treated as a population parameter around which confidence regions are constructed. The method involves inverting a test of hypothesis that can be expressed as a special case of the general linear hypothesis. The calculations are illustrated with a set of vehicle emission data. The implication of uncertainty on risk analysis is noted and an improved experimental procedure is suggested.