Sentence examples for fitting a regression of from inspiring English sources

The augmented Dickey-Fuller test includes fitting a regression of the form as follows: varDelta {y}_t=alpha +beta {y}_{t-1}+delta t+{yamma}_1varDelta {y}_{t-1}+cdot cdot cdot +{gamma}_pvarDelta {y}_{t- p}+{varepsilon}_t (3).

Technical notes: the line on the graph is actually a regression line, produced by fitting a regression to the log-odds of the Democratic nominee's Electoral College share of the two-party Electoral College vote on the log-odds of the Democratic share of the national, two-party presidential vote.

Each animal has a genotype made up of two alleles, so the SNP variable analysed was the sum of the x1's for the two alleles, i.e. the analysis fits a regression of phenotype on the number of B alleles (0, 1 or 2) in the SNP genotype of each animal.

In order to provide a comparison of the previously suggested analysis protocol of fitting a regression model of the best MDR or MDR-PDT model to the proposed testing strategy, the best 2-locus model was chosen from a case-control or family-based dataset using MDR or MDR-PDT respectively.

Shrinkage-based regression methods such as LASSO were developed to address the problem of fitting a regression model when the number of predictors is large compared to the sample size.

Because fitting a regression model essentially consists of finding an optimal projection of the observations on a lower-dimensional hyper-plane, the idea can be used to estimate the unknown regression function subject to restrictions.

The SROC curve is obtained by fitting a regression curve to pairs of TPR and FPR.

Results from forward fitting a regression model with genomic fractions of RR stretches from 546 chromosomes as response.

Results from forward fitting a regression model with genomic fractions of YR stretches from 546 chromosomes as response.

To avoid the difficulty of fitting a regression model with highly correlated independent variables, we ran separate models for ozone and PM2.5.

The slope of the fitting a regression model for these points was 0.4191 practically equal to the mean of the number of miscarriages.