Sentence examples for various regression techniques from inspiring English sources

Moreover, the range can be readily combined with various regression techniques to explore causal models of health inequities; which is why it is particularly relevant for assessing health inequities in program evaluation.

The aim of the study was therefore to explore how various regression techniques can be applied to water depth plant response data, to provide greater insight into growth responses than categorical analysis of variance (ANOVA -based experimental designs.

To address this problem, many researchers and practitioners have proposed and empirically evaluated various regression testing techniques, such as regression test selection, test case prioritization, and test suite minimization.

The goodness-of-fit of the model was tested by various regression diagnostic techniques including the tolerance test for multicollinearity, adjusted R square and F statistic.

Significant differences were found between the control and opioid-dependent groups in relation to CA, weight, BMI, smoking, cholesterol, low-density lipoprotein (LDL) and hepatic and inflammatory laboratory markers, but these were controlled for by various multiple regression techniques.

There are various kinds of regression techniques available to make predictions.

We select and investigate various ML and statistical regression techniques for predicting network and user level KPIs accounting for the impact on the performance of the whole LTE stack, based on small number of measurements.

For the implementation of the learning capability and the estimation of KPIs, we select and investigate various machine learning and statistical regression techniques.

In contrast to other generalized regression techniques that approximate conditional superquantiles by various combinations of conditional quantiles, we directly and in perfect analog to classical regression obtain superquantile regression functions as optimal solutions of certain error minimization problems.

An accurate and consistent extraction technique is developed to extract the values of various important parameters based on non-linear and multivariable regression techniques for the first time.

Standard Cox regression techniques were used to assess the etiologic relevance of various baseline characteristics to risk.