This paper deals with a bias correction of Akaike's information criterion (AIC) for selecting variables in multivariate normal linear regression models when the true distribution of observation is an unknown non-normal distribution. It is well known that the bias of AIC is O(1), and there are a numb
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Correcting second-order contamination in low-resolution spectra
β Scribed by V. Stanishev
- Publisher
- John Wiley and Sons
- Year
- 2007
- Tongue
- English
- Weight
- 319 KB
- Volume
- 328
- Category
- Article
- ISSN
- 0004-6337
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