Use Akaike (AIC) and Schwartz (SC) information criterions in the differentiation between nonlinear growth models of different fish species

published by Aِl-Baath University in 2018 in Veterinary Medicine and research's language is العربية Download

Abstract in English

The Akaike information criterion (AIC) is a measure of the relative quality of statistical models for a given set of data. The Schwarz Criterion (SC) is a measure to help in the selection between candidate models.

References used

Aho, K., Derryberry, D., Peterson, T. 2014 Model selection for ecologists: the worldviews of AIC and BIC, Ecology, 95: 631–636

Akaike, H. 1981. Likelihood of a model and information criteria. J. Econom, 16, 3–14

Burnham, P., Anderson, R. 2002 – Model Selection and Multimodel Inference: A Practical Information-theoretic Approach, 2nd ed. Springer, New York

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