Here we test the predictions of the model and analyze how well it predicts human behavior.
It is one of the most profound investigations of nature that we have ever made because it allows us to test the predictions of Einstein's General Relativity, the best theory of gravity that we possess, to levels of accuracy totally impossible to achieve in a laboratory on Earth.
The results of a series of experiments designed to test the predictions of these processing models are reported.
We test the predictions by performing Monte Carlo simulation on a computable general equilibrium model of the US economy.
The estimated parameters for the time of arrival, presented in panel (a) of Table 3, are used to test the predictions of the model.
By fitting a signal detection model to ROC data, one can separately estimate these parameters to test the predictions of competing theories.
Computational results are presented which test the predictions of our asymptotic analysis and demonstrate the efficiency of our solution technique.
We test the predictions of an equilibrium search model about the effects of an increase in the maximum duration of unemployment benefits.
We test the predictions that were derived from the theoretical model in Section 2 for the outcome "probability of being in couple".
To test the predictions of our dynamic model, we analyzed data from Twitter, an extremely popular social network website used by over 200 million users around the world.
The present investigation was designed to test the predictions of a control theory based view of self-regulation on the complex effects of self-efficacy on persistence.
