Research Article
A Logistic Regression Model with a Hierarchical Random Error Term for Analyzing the Utilization of Public Transport
Table 3
Estimates of the parameters of the extended hierarchical model defined by (
3).
| Parameter | Value | Lower 95% CI | Upper 95% CI | SD | value |
| | −1.2490 | −1.2531 | −1.2448 | 0.3012 | <0.0001 | (CARS) | 2.3322 | 2.3292 | 2.3352 | 0.2161 | <0.0001 | (DCOST) | 0.0174 | 0.0174 | 0.0175 | 0.0038 | <0.0001 | (DOVTT) | 0.0590 | 0.0587 | 0.0592 | 0.0190 | <0.0001 | (DIVTT) | 0.0156 | 0.0155 | 0.0158 | 0.0101 | <0.0001 | | −1.022 | −1.0234 | −1.0206 | 0.1026 | <0.0001 |
| DIC | 461.687 | | | | | Number of observations | 894 | | | | |
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