Sentence examples for regular regression from inspiring English sources

The results indicated that creating homogeneous groups of logistical sites was possible and the new conditional modelling approach which was applied to one segment of the logistical sites for FTG of tractor-trailers, performed better than the regular regression modelling.

A principle conceptual difference between regular regression estimations and matching estimation is that the latter gives the researcher greater flexibility in choosing how to aggregate heterogeneous effects, especially when using the specific technique coarsened exact matching.

Table 3, Figs. 5 and 6 show that for τ=0.95,…,0.99, the proposed weighted regression Q W(f)(τ|x) with the weight (15) is more efficient relative to the regular regression Q R (τ|x).

(4) Regression Testing: For larger projects, regular regression testing must be performed to maintain the integrity of the design and coherence of the different design representations over the entire duration of the project.

From the overall results of simulation, we can conclude that: Table 3, Figs. 5 and 6 show that for τ=0.95,…,0.99, the proposed weighted regression Q W(f)(τ|x) with the weight (15) is more efficient relative to the regular regression Q R (τ|x).

The calculated numbers for the different types of Vårdguiden.se queries were highly correlated, which poses a problem for regular regression due to colinearity issues.

We used a simple extension of regular regression-based association analysis.

In comparison to regular Poisson regression models, negative binomial regression models have an extra parameter to model the overdispersion.

To implement these methods, the R packages, "stepPlr", "e1071", "randomForest", "glm" are used for PLR, SVM, Random Forest, and regular logistic regression respectively.Multinomial logistic regression analysis (RMLR) extends PLR to multiple categories classification, assigning each category relative possibility among all possible results.

However, because of the small sample size and the presence of zero cells, regular logistic regression is invalid and not estimable.

The regular quantile regression Q R (τ|x) estimation based on (5), Q_{R} tau |x)=widehat{beta }_{0} tau)+widehat{beta }_{1} tau x (13).