Sentence examples for destination variables from inspiring English sources

A second set of GLMs estimated the relationships of single destination variables with non-transport sitting and motorised transport, adjusting for the above sociodemographic covariates and environmental covariates.

Separate models estimated two-way interaction effects of destination variables by safety and infrastructure-related environmental attributes identified in previous work.

Models including all significant neighbourhood environmental characteristics, destination variables and interaction effects from the single-destination-variable models (presented above) could be estimated given that the intercorrelations between the variables were lower than 0.50, indicating no multicollinearity problems.

The factor node updates the messages forwarded from the connected variable nodes by using the specific simple local function, and the result is passed to the destination variable node.

For example, Lin and Bian (1991) derived a status attainment model for urban Chinese by paying close attention to the significance of work sector status as a destination variable and concluded that "social mobility becomes a matter not of getting a better job or making more money but rather of getting into the right work units" (p. 659).

To protect the identity of study participants, the built environment and destinations variables were returned to the WA Department to Health Epidemiology Branch which linked these data to survey, hospital, and mental health system data and returned a (de-identified) file to CBEH.

The list of geocoded home addresses was provided by the WA Department of Health Epidemiology Branch to the Centre for Built Environment and Health (CBEH) at The University of Western Australia (UWA) and specific built environment and destinations variables calculated for each geocoded address.

Using this same classification of independent mobility the 'usual travel to local non-school destinations' variable was calculated as the ratio of independently mobile trips from all trips a child undertook to non-school destinations.

In specification (1), the annual change in the diaspora ratio is exclusively regressed on these destination specific variables.

Note that in this model we cannot estimate parameters for the destination zone variables gdp j and ( frac{gdp_j}{po{p}_j} ) because these are specific to the destination countries j and would be perfectly correlated with the destination country dummy.

We include origin-specific and destination-specific variables such as country GDP plus migration policies.3.3