Sentence examples for between the errors terms from inspiring English sources

This model produces estimates of the coefficient vectors for the two equations of ρ (the correlation between the errors terms of the equations) and of the standard errors for these parameters.

Lastly, we vary the level of positive correlation between the error terms in the model estimating the link between external locus of control and NEET status.

With the exception of men at medium-sized firms, the correlation between the error terms in the two equations, ρ, is positive.

They then test for jointness post hoc via hypothesis testing for the correlation parameter (rho) between the error terms of the simultaneous equations.

In this way, it is possible to consider the potential for unobserved heterogeneity that could produce a correlation between the error terms in the two probit models.

Soleimani et al. (2009) showed that the existing auto-correlation between the error terms within each profile affects the performance of the control charts for simple linear profiles.

We applied a random effects model to account for the possibility of specific correlation between the error terms of an allocator's choices.

Essentially, in bivariate probit regression two separate probit models are estimated simultaneously, allowing for a correlation between the error terms of the two equations.

Further, the structural parameters and are both estimated to be statistically different than 1.0 (t = 2.12, 2.34, respectively), indicating the presence of statistically significant correlation between the error terms of the discrete and continuous models.

The results are sensitive to increasing the level of positive correlation between the error terms, but the coefficient of low self-esteem remains positive and significant when selection on observable is set equal to selection on unobservables.

Also, the log likelihood ratio test rejected the hypothesis of the absence of correlation between the error terms of outcome (ϵ1) and selection (ϵ2) equations (ρ = 0.690, ρ = 0.027).