Sentence examples for model for regression from inspiring English sources

Moreover, a probabilistic model for regression parameters is employed to assess reliability-based performance.

This paper formulates a probabilistic form of the widely used Partial Least Squares (PLS) model for regression modeling and application in industrial processes.

At the top level of our framework, we have adopted a well-known Hierarchical Mixture of Experts (HME) model for regression and classification [ 16].

For the construction of the current LDF model the CART algorithm, a predictive tree model for regression and classification problems, was used.

Finkelstein [ 1] first introduced a quasi semi-parametric model for regression analysis of interval-censored failure time data based on a finite dimensional maximum likelihood problem.

Double cross-validation reliably and unbiasedly estimates prediction errors under model uncertainty for regression models.

To answer the above question, in this paper we present a new method for model identification for regression models.

To improve the accuracy of numerical analysis, two new constitutive models for regression of various experimental stress strain relations are suggested.

We built two models for regression analysis: an early model and a late model.

During modeling for regression analyses, all variables of clinical importance or with p-value 0.2 and less on bivariate analysis were considered for inclusion.

Tree-based models such as CART (Classification And Regression Trees) [ 22] are non-linear and non-parametric alternatives to linear models for regression and classification problems (such as linear regression, logistic regression, linear discriminant analysis, linear proportional hazard models).