Table 7. Root trimmed mean squared prediction error in the protein test set. 7. Conclusions We proposed robust and sparse regression based on the γ -divergence. We showed desirable robust properties under both homogeneous and heterogeneous contamination. In particular, we presented the Pythagorean ...
Table 7. Summary analysis. Then, a confidence interval was carried out to validate the information, and the results are depicted in Table 8. It can be observed that difference does not exist between the means analyzed. Table 8. Confidence Interval test. In addition, it can be seen in ...
Since you can't prevent SPSS from including the latter, try SPSS Correlations in APA Format. You can further edit the result fast in an OpenOffice or Excel spreadsheet by right clicking the table and selecting Copy special Excel Worksheet. ...
This output table first presents the model equation, then summarizes the model residuals (see step 4). The Coefficients section shows: The estimates (Estimate) for the model parameters – the value of the y-intercept (in this case 0.204) and the estimated effect of income on happiness (0.713...
meta meregress, variance noheader nofetable Random-effects parameters study: Identity var(_cons) Estimate .0188289 Alternatively, we could have used estat sd, variance to obtain the same output; see [META] estat sd and example 6. Similarly, we can fit a standard meta-regression model as a ...
(Qiagen, 69504). DNA in the nuclear, chloroplast and mitochondria was identified by PCR (Takara, R010A) following the manufacturer’s instructions. The primer used for target genes were shown in Additional file1: Table S2. The products were separated by electrophoresis on a 1% agarose gel ...
(Table 1) Spatial analysis Spatial variation in EIBF and EBF in Ethiopia Spatial autocorrelation revealed significant spatial variations in EIBF (Supplementary Fig. 1) and EBF (Supplementary Fig. 2) throughout Ethiopia in all three surveys conducted from 2011 to 2019. The global Moran’s I ...
There was significant heterogeneity across the various measures (Table3) used by the sample of this studies in this meta-analysis,I2 = 98.2%,τ2 = 0.36,p = 0.001 (Fig.14). Considering the measures as 15 categories, the BEDS-7 (k = 1,N = 154) yielded the hig...
For the purposes of the current study, only children with a diagnosis of ASD were included, which resulted in 160 children (age range 2–16 years, M = 8.17, SD = 4.12) (Table 1). The sample was composed of 83.1% males and 16.3% females. Race/ ethnicity was reported as 7.5% ...
Table 2. Hyperparameters used in the construction and training of our WGANs for both the single-output and multi-output distributions. 3.2. Single-Output Regression with Random Input Values In this section, we sample the posterior of the GPR at random points. For the WGAN, we randomly sampl...