Efficiency of the finite correction of Akaike's Information Criteria.

By H. Shono. 2000

91 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Finance, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/f0831e3b364c594fa807e5d4e63a7ab2e4f93ec4

How researchers see this paper

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In Economics and Econometrics

1. Lixin Zhu
2. Lifang Li
3. Zhen-lin Liang
4. Stelios Katsanevakis

In Finance

1. Lixin Zhu
2. Lifang Li
3. Zhen-lin Liang
4. Stelios Katsanevakis

In Statistics and Probability

1. Lixin Zhu
2. Lifang Li
3. Zhen-lin Liang
4. Stelios Katsanevakis

Citations in the corpus

• Modelling fish growth: model selection, multi-model inference and model selection uncertainty (2006, methodology): “%) was eliminated and AICc differences, Akaike weights, and model-averaged estimates were re-calculated.”
• Comparison of six statistical approaches in the selection of appropriate fish growth models (2009, methodology): “ Shono (2000) compared the performance of AIC, AICc, and BIC in small samples using data sets simulated from the models of CPUE standardization.”