Sentence examples for time regression from inspiring English sources

PMID: 15368060; PMCID: PMC1896318. Lee ML, Whitmore GA, Laden F, Hart JE, Garshick E. Assessing lung cancer risk in railroad workers using a first hitting time regression model.

In this paper, an original approach based on multilayer perceptron neural network with a time regression input vector is proposed as an alternative solution.

The raw experimental data are exploited to create a multi-input and multi-output (MIMO) model using a multi-layer perceptron neural network combined with a time regression input vector.

In this paper, we study censored failure time regression with a continuous auxiliary covariate vector.

The difference between groups regarding skewness analyses of the MRI data after treatment was assessed using an F test, where the skewness vs. time regression coefficients was compared.

Machine learning-based techniques have also been proposed for model learning including neural networks, time regression, and space vector machines [5, 17, 18].

Simple one factor at a time regressions were carried out first, with the significance of each factor tested by a likelihood-ratio test compared to the null model.

In particular, the field of online any-time regression analysis seems to have experienced a serious lack of attention.

Every institution houses the data and technology to run every prospective student through a real-time regression analysis to provide a predictive rate of success.

To examine whether deterministic dispersion output improves LUR predictions for nitrogen dioxide (NO2), we incorporated hourly Caline3QHCR dispersion information into existing winter-time regression models originally designed to disentangle effects of multiple sources (e.g., legacy industry, vehicle traffic) and concentration modifiers (e.g., elevation) across Pittsburgh, PA.

At times, regression and restricted circulation with the open sea took place, leading to evaporation of water and the formation of evaporite minerals.