In this study, the Akaike Information Criterion (AIC) goodness-of-fit test is used to identify more objectively the optimum model for flood frequency analysis in Kenya from a class of competing models. The class is comprised of (a) seven three-parameter density functions, namely, log-normal,...
The performance characteristics of several selection criteria, the Akaike Information Criterion (AIC), and the Schwarz Criterion (SC), and the F test (α=0.05), were examined using Monte Carlo simulations. In particular, the ability of these criteria to select the correct model, to select a ...
The Akaike information criterion (AIC)92 was used to compare the goodness of fit of all tested models in order to find the most parsimonious model. For each edge, the model with the lowest AIC was selected. Consequently, the narrow-sense heritability (the proportion of variance attributable to...
Both models were compared by using a likelihood ratio test, the Akaike Information Criterion (AIC), and the Bayesian Information Criterion (BIC) to select the model that best fit our data. We used this strategy to explore whether the significant correlations observed were better explained by the...
Among different candidate parametric detection functions, it is suggested to use Akaike Information Criterion (AIC) to select the most appropriate one of them to fit line transect data. Four different detection functions are considered in this paper. Two of them are taken to satisfy the shoulder ...
The Akaike information criterion: Background, derivation, propertis, application, interpretation, and refinements. WIREs Comput. Stat. 2019, 11, e1460. [Google Scholar] [CrossRef] Hau, K.-T.; Ho, I.T. Chinese students’ motivation and achievement. In The Oxford Handbook of Chinese Psychology...
In a next step, the different IRT models (i.e., PCM, GPCM, GRM) were compared using the Akaike information criterion (AIC; Akaike, 1974) and the Bayesian information criterion (BIC; Schwarz, 1978) as well as their sample size adjusted variants to determine which model fitted the data ...
1b) (Residual Sum of Squares [RSS] was reduced by 1490, p = 0.00 according to a χ2 test, and the Akaike Information Criterion [AIC] was decreased by 1057.5. Both measures suggest that there was stronger model evidence for a model that considers individual differences compared to the...
The optimal histogram cell width, which asymptotically minimizes the mean Hellinger distance between the histogram and density, is shown to be equivalent to the one that maximizes Akaike's information criterion for compactly supported densities. 关键词: Akaike's information criterion Hellinger distance hi...
Application of Akaike\"s information criterion (AIC) in the evaluation of linear pharmacokinetic equations K Yamaoka,T Nakagawa,T Uno 被引量: 0发表: 1978年 Comparison of the Akaike Information Criterion, the Schwarz criterion and the F test as guides to model selection In pharmacokinetic data ...