Sentence examples for models show slightly from inspiring English sources

Scalar and strict invariance models show slightly lower and non-acceptable fit to the data.

The results of the PM2.5 exposure-response models showed slightly larger associations between PM2.5 and post WBC and next morning CRP; yet slightly smaller regression coefficients for post SDNN, rMSSD, LF and HF (Table  5).

In CheY, the sensitivity has similar values for all the models, with the Γ and Γ f models showing slightly higher scores than I LL n and the contact map.

The prediction performance of KPLS model was compared to that of a three-layer back-propagation (BP) neural network with validation data, and the KPLS model showed slightly better performance than the BP network.

The first model shows slightly different waveforms at different stations.

Compared with the established MLR model, the obtained L-ANN model shows slightly higher prediction accuracy.

As expected, the model shows slightly higher routing overhead (see Section 4.1.1 for the reasons).

The BIP-RD1 model showed slightly larger error than did the other models, while both M5n and M4n overestimated the total JJA cumulative rainfall, with M4n having the larger overestimation, as reflected in its RMSE.

As shown in Table  1, the symmetric hot spot model shows slightly more evidence of mutation clustering than the hot spot model.

They range between 2.2 and 2.8, with the Type II model showing slightly smaller values compared to Type I, indicative of distance distributions that have a broader peak than a normal distribution (K = 3).

The proposed models show either slightly or rather strongly slower V p anomaly relative to the Preliminary Reference Earth Model (PREM) (Dziewonski and Anderson 1981) near the top of the core.