| タイトル | SEE Rate Estimation: Model Complexity and Data Requirements |
| 本文（外部サイト） | http://hdl.handle.net/2060/20080040776 |
| 著者（英） | Ladbury, Ray |
| 著者所属（英） | NASA Goddard Space Flight Center |
| 発行日 | 2008-04-16 |
| 言語 | eng |
| 内容記述 | Statistical 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. |
| NASA分類 | Statistics and Probability |
| 権利 | No Copyright |
