Sentence examples for linear regression estimate from inspiring English sources

Let us consider the case of a local linear regression estimate; i.e., p=1.

So with this consideration simple linear regression estimate is used to impute when the missing data is at the beginning ((t_1)) or/and at the end ((t_n)).

Linear regression estimate imputation is one of the single imputation method used the surviving creature characteristicswhen the variable with missing value has correlation with explanatory variable (time) and the series of data values follow linear trend [7].

This is despite protein length increasing slightly with GC content (linear regression estimate of average protein length in genomes with 20% GC3: 256 amino acids [90% GC3: 278], supplementary fig. 2, Supplementary Material online).

The unusual family-level diversity increase in the Lepidoptera seems to be a more general feature of the Amphiesmenoptera, as our data incorporating the Trichoptera into the Lepidoptera resulted in a further lowering of the linear regression estimate (Table  3).

A matrix R is defined which contains the coordinates of the k matched points in the reference image: The D matrix contains the corresponding points in the distorted image: An A matrix is defined contains the transformation parameters: The linear regression estimate for A is given by: To implement the second-order polynomial transformation at least six corresponding point pairs are needed.

Moreover, LOO-CV is inconsistent for variable selection in combination with multiple linear regression estimated by the ordinary least squares estimator (MLR) [49].

Linear regression estimated adjusted mean differences (MD).

Figure 5 presents the mean values of d KS for different levels l and its linear regression estimated for the image of Fig. 1b.

Summary results from linear regression estimates of the effect of husbands' and wives' involuntary job loss on their partners' MHI-5 score are presented, for each of three specifications, in Table 2.

The adjusted linear regression estimates for all risk factors except formula-feeding were positive in both the 3 10 year-old and 11 17 year-old children (tables 2 and 3), indicating a shift of the mean BMI in children under exposure.