Sentence examples for unobservable coefficient from inspiring English sources

For the unobservable coefficient ρ X, Y) these parameters are 0.797 and 4.16 × 10-5, respectively.

The above conditions allow us to deduce a realistic range of possible values of the unobservable variation coefficient z from a specific set of microarray data.

When selection on observables is set equal to selection on unobservables, the coefficient of external locus of control seems particularly sensitive to high levels of positive correlation (ρ = 0.55) and changes sign.

The simultaneous modeling of fertility and women's employment appear thus to be strongly justified because after we controlled for the time-invariant unobservables, the estimated coefficients of the effect of employment on first birth became lower (see column (3) in Table  2).

On the other hand, it requires covariates included in f i ′ to be good proxies of the unobservable so that the OLS coefficient on ln(d it ) is a consistent estimator for the true effect of the payments.

While OLS coefficients suggest significantly negative effects on productivity for both foreigners and women, the inclusion of time-invariant unobservable firm characteristics renders the coefficients insignificantly different from zero.

Second, it could be the result of differences in the estimated coefficients of these unobservable characteristics, such as discrimination effects (i.e., patients in rural areas or older patients that are less likely to see a female GP).

A nonlinear consider approach is utilized by incorporating the covariances of the unobservable uncertain atmospheric density and the ballistic coefficient into the state estimate covariance; parameters are specifically not estimated directly to improve the navigation accuracy and robustness during the Mars entry phase.

That unobservable factor is consistent with an unobserved entrepreneurial skill.

A Gaussian mixture model is then estimated in the 10-dimensional space of AR coefficients (see Eq. (1)), based on the idea that the unobservable space of possible brain states can be partitioned into a finite number of disjunct states; in this study numbered from 1 to K. The number itself is an identifier and the meaning of each state is derived from the observed sensor data.

The β0 is the constant term or intercept, the βi + n are the indexed coefficients for each the criteria included in the model, while ε is the unobservable error term.