Sentence examples for class of regression from inspiring English sources

In this work we present a new class of regression estimates called generalized PTS (GPTS).

Further details on this class of regression models can be found in Cox and Oakes (1984), Kalbfleisch and Prentice (2002) and Lawless (2003).

We proposed a new class of regression models for location and scale based on the logarithm of the PCNB random variable.

A class of regression models for location and scale is characterized by the fact that the random variable Y= log(Z) has a distribution with location parameter μ v), which depends only on the explanatory variable vector, and a scale parameter a.

A class of regression models for location and scale is characterized by the fact that the random variable Y= log(X) has a distribution with location parameter μ v) dependent only on the explanatory variable vector and a scale parameter σ.

One advantage of this process is that it can estimate a wider class of regression surfaces than parametric functions.

Traditional time series forecasting can be performed using several classes of regression models, as reviewed in De Gooijer and Hyndman (2006), while the two major classes are stochastic and machine learning.

To get insight in the process we then modelled the experimental results with different classes of regression models; from modelling we could identify the special role played by some molecules and the relevance of their relative weight in the composition.

A generalized regression methodology, which uses a class of ordinal regression models to estimate smoothed ROC curves has been described.

Some other methods fall into the class of regularized regression where regularization is applied to regression methods to infer a limited number of edges, thereby favoring important ones [ 10].

The class of nonparametric regression machines we have studied come from the machine learning literature, namely random forest regression [ 2] and nearest neighbor regression.