Beyond the challenge of testing three-way interactions of model medians, modeling studies such as ours violate the standard assumption that error terms (considered here as crop model by GCM combinations) are random and independent.
However, for three-order interactions of Model 4, BHIT showed much more tolerance with these effects as it nearly detected all the interactions with or without LD.
For three-order interactions of Model 4, PLINK failed to detect high-order interactions, while BOOST and EDCF significantly lost its power to effectively detect the three pair-wise interactions decomposed from the three-order interaction.
Interaction of models with observational data, from the perspective of statistical inference: Bayesian parameter estimation, statistical regularization, Markov chain Monte Carlo, sequential data assimilation and filtering, and model selection.
The extended verification procedure involves testing the functionality, the data exchange between different physics models, and their coupling, which is designed to model combined effects determined by the interaction of models.
The HTTP protocol causes much overhead in the interaction of models on the Web.
Statistical analysis for the interaction of models' responses (COD, NH3 N, color removal, and OC) was significant at P value less than 0.05.
This study investigates the effects of the quality of social interaction on modeling of food intake among young women.
We also investigate the interaction of modeling uncertainties and numerical integration error in the solution of the ordinary differential equations for the flight dynamics.
Although a model calibration was required, due to the complex interaction of model parameters, numerical results demonstrate key trends of experiments and provide a starting point for the development of more predictive approaches for simulating fastener failure.
