Sentence examples for predictions of adjustment from inspiring English sources

The experimental design is based on changes in an effort-cost parameter, which do not alter the set of Nash equilibria nor do they alter the predictions of adjustment theories based on imitation or best response dynamics.

Contrary to expectations, goal progress did not contribute uniquely to the prediction of academic adjustment or life satisfaction.

To examine whether family structure or the family process variables played a more important role in the prediction of child adjustment, a single-level multiple regression model was estimated for the parenting variables that differed between family types, the child variables that differed between family types, and family type.

The accuracy of the prediction and adjustment of the governing parameters helped to validate the models.

Finally, experimental results on the hash ring, content hot-rank prediction, and adjustment of autonomous decision of cache status are analyzed, thereby confirming that the distributed proxy cache management mechanism based on autonomous decision could manage cache nodes effectively and automatically, and could improve the overall performance of the system.

In their study, the improvement of prediction reliabilities by adjustment of G matrix is much larger, compared with the results from the current study.

Theoretical predictions in the previous section emphasize the role of adjustment costs on the labor-demand fluctuation by age group.

In this paper we present a new method for the prediction and adjustment of motion parameters to the current measurements using the quaternion representation for the orientation and the Gauss-Newton iteration on the unit sphere S3.

Existing methods allow prediction of PaO2 during adjustment of FiO2.

These relationships allowed the prediction of flock-specific adjustment factors to be extended to larger numbers of flocks, because derivation of flock-specific factors required only an estimate of the mean weights of lambs in the reference class for each flock.

Using more patient attributes, the proposed approach should be able to better characterize PCA demand behaviors and make more accurate predictions of PCA analgesic consumption and control adjustment.