Finally, the results presented in this work demonstrated the importance of the model selection for analyzing the mechanical behavior of the composites.
Emphasis is placed on model selection procedures for analyzing data from large-scale genome scans based on specifically designed modifications of the Bayesian information criterion.
To determine the most important habitat-related environmental factors influencing the Sign Encounter Rate (SER) of the three ungulate species, 11 physical, anthropogenic and vegetation variables were simultaneously analyzed through model selection using Akaike's Information Criterion.
Slavemaker demography was analyzed using model selection.
Additionally, eight of the 700 IM datasets with recent divergence (B parameterization) failed to converge, resulting in 692 total datasets analyzed for model selection and parameter estimation.
The study also employed the Heckman sample selection model to analyze the two-stepprocess of adaptation to climate change which initially requires farmers' perception that climate is changingprior to responding to the changes through adaptation measures.
His current research focuses on developing and analyzing methods for model selection in Econometric problems, and for solving Mechanism Design problems.
Ear rot data from the 2011/2012 topcross experiments were analyzed using the same model selection protocol as the inbred experiments.
To extract independent events, those with a P-value ⩽0.20 were analyzed using the forward stepwise model selection procedure.
In general, we believe such a model selection threshold is intuitive and easily extended to analyzing more complex models since no null distribution has to be defined.
