Sentence examples for logit regression models from inspiring English sources

To reduce this heterogeneity, we used multinomial logit regression models, which modeled IPV as mutually exclusive categorizations of perpetration compared to no IPV perpetration (Table 3).

The data are used to estimate binomial logit regression models for one-way and round-trip carsharing.

The DCE data were analysed using conditional, mixed and generalised logit regression models, accounting for preference and scale heterogeneity.

We estimate physician altruism, the weight individuals attach to patients' health benefit, by fitting mixed logit and multinomial logit regression models to the experimental data.

The data were analysed using conditional logit regression models to estimate respondents' willingness to accept (WTA) some amount of money compensation in lieu of foregone malaria risk reductions.

Descriptive statistics, estimation of CHS, log linear regression and the logit regression models are used in the analyses.

The logit regression model is applied to study the direction and the strength of the relationship.

The data for the analysis are drawn from the survey Encuesta de Mayores 2010 (IMSERSO) by means of different specifications of Logit techniques, namely a Logit Regression Model and a Multinomial Logit Regression Model.

For a sample of 1397 trips, we fitted a multinomial logit regression model.

A mixed-effect logit regression model was performed to assess the factors associated with interactions.

For the technically minded Citi kindly explains it is using a logit regression model, expressed as: p i,t) = 1/1 + e(to the power of)- βx i,t) where: x i,t) is a vector of fundamental characteristics of the firm; β is a vector of factor sensitivities; p i,t) is the probability that a firm i will be conduct a rights issue in period t.