Sentence examples for model we agree from inspiring English sources

But I want whatever model we agree to follow three principles.

Author's response: Regarding the reviewer's statement concerning our specification of an "inappropriate TF model", we agree that is inappropriate but point out that this form was not used as a soft target.

Although we think that performing a detailed analysis of anaphase spindle morphology by EM is a worthy thing to do and is an important test of our model, we agree with the reviewer's later comment that it is beyond the scope of this study.

While we feel that the original version of the paper contained at least some justification of the second condition you formulate, as we analyzed which low-level factors affect spiking of tectal cells through a set of competitive linear models, we agree that our case for the true "degeneracy" of physiological properties of tectal cells is rather weak.

We recognize the identification of CT related skills in the CSTA's model, and we agree to its relevance in computer science courses.

Overall, we feel that the available electrophysiological data with this mutant described in Yang et al. 2010, our 3R and 5E mutants, and our mutant containing the dmCpxI accessory helix provide support for the electrostatic model, even though we agree that the model is not proven (and this is how we present it in the paper).

We expect the claims on BIC versus AIC in the literature to hold for mixed effect models, but we we agree that the range of effective sample sizes used in the present study is not sufficient to provide firm additional support.

ad 2) We agree that model assumptions should have been described with greater detail rather than just cite our previous work.

The proof of Lemma 1 in the Results section reveals another explanation: as we are working on sampled data to fit statistical models, we should also agree to work on sampled parameters to criticize the model.

We found that the Callaway model predictions agree reasonably with the experimental data.

The model predictions agree well with experiments.