Bootstrap-based estimates of uncertainty in subspace identification methods
โ Scribed by Sergio Bittanti; Marco Lovera
- Publisher
- Elsevier Science
- Year
- 2000
- Tongue
- English
- Weight
- 228 KB
- Volume
- 36
- Category
- Article
- ISSN
- 0005-1098
No coin nor oath required. For personal study only.
โฆ Synopsis
The application of computational statistics provides simple algorithms for assessing model uncertainty in subspace identixcation.
๐ SIMILAR VOLUMES
A method called the grey bootstrap method is proposed to resolve some problems about evaluation of the uncertainty in the process of dynamic measurement by developing four evaluating indicators, i.e. the estimated uncertainty, the estimated interval, the estimated true value and the mean uncertainty
In a recent article Rogers (1991) has analyzed the numerical procedure used by Andreo and Fransson (1989) to estimate uncertainties of stopping-power ratios for ionization chamber dosimetry. The paper under discussion was an attempt to perform a numerical analysis of the uncertainties in stopping-po