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For estimation, we used a binary logit model because of the binary nature of the explained variable.
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Second, this study examines the drivers of MNP adoption by customers using a binary logit specification.
Using a binary logit model for the mode-split, the combined problem is converted into a traffic-assignment problem with elastic demand.
Our third step, using a binary logit model, was to estimate the determinant of the probability of a mobile person to become an intensive traveller.
We analysed GPs' responses to multiple combinations of these factors, coupled with information on GP and practice characteristics, using a binary logit model.
We used a binary distribution, a logit-link function (constraining DSR of nests between 0 and 1), and a variance components-covariance structure for random effects (Appendix 1).
The proportion of the binary variable was estimated using a binary distribution with logit.
The owner's response in the task was analysed using binomial tests and general linearized mixed models (GLMMs) with a binary logit structure using Genstat version 13.1 (VSN International, Hemel Hempstead, UK).
We use a multidimensional binary logit model to predict the probability that one or more alternatives will be chosen by a customer.
A binary logit model using all gap and lag data was developed, and the gap acceptance behavior was found to be influenced by a gap or lag, and two separate models for gap and lag were developed.
A binary logit model was used in the analysis of individual household's choice between having no health insurance and having health insurance.
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