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Activity Number:
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382
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Type:
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Contributed
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Date/Time:
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Tuesday, August 4, 2009 : 2:00 PM to 3:50 PM
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Sponsor:
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Section on Risk Analysis
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| Abstract - #303993 |
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Title:
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Shelf Life Assessment Based on Threshold Parameter Estimation
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Author(s):
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Michael E. Tarter*+ and Guangwei Huang
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Companies:
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University of California, Berkeley and Technical and Scientific Affairs Almond Board of California
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Address:
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School of Public Health, Berkeley, CA, 94720,
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Keywords:
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heteroscedasticity ; homoscedasticity ; lognormal ; transformation ; R(y | x) curve ; linearity
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Abstract:
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For m > 2, suppose a specified unacceptable-spoilage (or other risk-marker) level is known to have been reached between two consecutive members of a sequence of m dates. Given prior knowledge about the relationship between the spoilage or other risk-marker's standard deviation, on the one hand, and this same marker's mean, on the other, how can the exact time the unacceptable level is reached be approximated? To answer this question packaged almond shelf-life-interpolation procedures called upon risk analysis methodology previously used to study epidemiological issues such as the assessment of radiological site contamination.
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- The address information is for the authors that have a + after their name.
- Authors who are presenting talks have a * after their name.
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