Sentence examples for mean regression from inspiring English sources

(kilowatts) data and LS mean regression μ LS (green).

Traditional mean regression are concerned with estimating the conditional mean by using the L2-loss function.

The least squares mean regression curves in Fig. 4 were obtained by using (1) and the model (3).

The new proposed method will be applied to real-world examples on extreme events and compared to mean regression and classical quantile regression.

The new proposed method will be applied to real-world examples on extreme events and compared to mean regression and classical quantile regression.  .

After the studies above, we can conclude: Traditional mean regression are concerned with estimating the conditional mean by using the L2-loss function.

b The scatter diagram of daily snowfalls greater than or equal to 5 cm (n=316 days) and least squares mean regression μ LS (red) of Buffalo snowfalls given the maximum temperature between January 1994 and January 2015.

To evaluate 5-day BNP kinetics among subgroups, mean regression lines were created and compared by using linear mixed model analysis.

When p values were compared, the ΔCt and Ct mean regression methods identified almost exactly the same genes as being differentially expressed between the two groups of subjects ; however the p values tended to be larger from the Ct mean regression (right panel of Figure  6).

At MSU, the slope of the geometric mean regression coefficient did not differ (P = 0.111) from unity.

We illustrate our results on a normal mean regression function and demonstrate the usefulness of a model based on piecewise constant functions.