Sentence examples for use of quantile regression from inspiring English sources

Our goal is to demonstrate how combined use of quantile regression and restricted cubic splines (RCS) can reveal the true nature and complexity of relationships between continuous variables.

We introduce a comprehensive and objective approach to analyze baseflow recessions with innovations including the use of quantile regression, efficient and objective numerical estimation of dQ/dt, inclusion of groundwater withdrawals, and incorporation of seasonal effects.

The model specification approach is similar to that adopted for the wage equations; however, as the dependant variable is binary in nature, this rules out the use of quantile regression as a control for unobserved heterogeneity (Table 10).

These analyses were performed with the use of quantile regression [12], [13], a statistical method that offers a more comprehensive approach than the widely used linear regression.

Examination of the restricted cubic splines further supported the use of quantile regression rather than continuous linear regression, as the relationship between inflammatory markers and ERI was curvilinear.

This paper examines the potential role of quantile regression for modelling the 85th percentile, or any other quantile.

We use the pseudo-R2 of quantile regression, R1, as the goodness-of-fit [39].

We used the y-intercept of quantile regression to predict the fish index value for a stressor gradient value of 0 (the fish index value at a site with the lowest mean stressor gradient score in the reference stratum) which we designated as least-disturbed condition for the fish index for that stratum.

Tables 8 and 9 show the results of quantile regression using Trade 1 as an independent variable.

The approach and interpretation of quantile regression are similar to those of linear regression.

The results of quantile regression are interpreted in a similar way to those of linear regression.