Sentence examples for most precise models from inspiring English sources

The most precise models of V and TSV included stand density as a predictive variable.

The most precise model had four independent variables including age.

When fitted to the validation dataset, the most precise model included only the variables of age and Site Index.

The analysis presented in this paper allows us to select the most precise model while not neglecting its simplicity.

This study was designed to identify the most precise model for forest managers to predict the 300 Index based on data from remote sensing and auxiliary data.

In some cases, either RM or FM is insufficient, whereas the most precise model is the combination of both (Bollen and Lennox 1991).

The most precise model of mean height was developed using textural attributes and had a coefficient of determination of 0.93 (Shamsoddini et al. 2013).

For models including stand age, the inclusion of LiDAR resulted in the most precise model (mean R 2 = 0.789; root mean square error (RMSE) = 2.48 m3 ha−1 year−1) while for models without stand age, metrics extracted from both satellite imagery and environmental layers produced the most precise model of the 300 Index (R 2 = 0.65; RMSE = 3.21 m3.21−1 year−1).

The most precise model for prediction of AMEn and AMEn/GE values for the whole data analysed was that based on NIRS equations (Rcv2= 0.952 and   0.926, respectively).

The objective here was to find the most precise model which is suitable to assess diffuse solar radiation in the region considered.

However, the precision range for these models (RMSE range of 3.55 3.85 m3 ha−1 year−1) was similar to that of previous national New Zealand models of P. radiata 300 Index created from environmental layers (Palmer et al. 2009b) where the most precise model had RMSE of 3.65 m3.65−1 year−1.