Information criteria and statistical modeling
The Akaike information criterion (AIC) derived as an estimator of the Kullback-Leibler information discrepancy provides a useful tool for evaluating statistical models, and numerous successful applications of the AIC have been reported in various fields of natural sciences, social sciences and engin...
| Main Author: | Konishi, Sadanori. |
|---|---|
| Other Authors: | Kitagawa, G. 1948-, SpringerLink (Online service) |
| Format: | eBook |
| Language: | English |
| Published: |
New York ; London :
Springer,
2007.
New York ; London : 2007. |
| Physical Description: |
1 online resource. |
| Series: |
Springer series in statistics.
|
| Subjects: |
CMU Electronic Access
Electronic Resource Click Here| Location | Call Number: | Status |
|---|---|---|
| CMU Electronic Access | Available |