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SEE Rate Estimation: Model Complexity and Data RequirementsStatistical Methods outlined in [Ladbury, TNS20071 can be generalized for Monte Carlo Rate Calculation Methods Two Monte Carlo Approaches: a) Rate based on vendor-supplied (or reverse-engineered) model SEE testing and statistical analysis performed to validate model; b) Rate calculated based on model fit to SEE data Statistical analysis very similar to case for CREME96. Information Theory allows simultaneous consideration of multiple models with different complexities: a) Model with lowest AIC usually has greatest predictive power; b) Model averaging using AIC weights may give better performance if several models have similar good performance; and c) Rates can be bounded for a given confidence level over multiple models, as well as over the parameter space of a model.
Document ID
20080040776
Acquisition Source
Goddard Space Flight Center
Document Type
Conference Paper
Authors
Ladbury, Ray (NASA Goddard Space Flight Center Greenbelt, MD, United States)
Date Acquired
August 24, 2013
Publication Date
April 16, 2008
Subject Category
Statistics And Probability
Meeting Information
Meeting: 2008 Single Event Effects Symposium
Location: Long Beach, CA
Country: United States
Start Date: April 15, 2008
End Date: April 17, 2008
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.

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