Research Article
A Logistic Regression Model with a Hierarchical Random Error Term for Analyzing the Utilization of Public Transport
Table 4
Estimates of the parameters of the extended hierarchical model defined by (
20).
| Parameter | Value | Lower 95% CI | Upper 95% CI | SD | value |
| | −1.3607 | −1.8495 | −0.8590 | 0.3005 | <0.0001 | (CARS) | 2.2569 | 1.9034 | 2.6305 | 0.2131 | <0.0001 | (DCOST) | 0.0149 | 0.0086 | 0.0213 | 0.0039 | <0.0001 | (DOVTT) | 0.0907 | 0.0569 | 0.1250 | 0.0209 | <0.0001 | (DIVTT) | 0.0082 | −0.0072 | 0.0247 | 0.0097 | 0.1973 | | −0.4310 | −0.5229 | −0.3363 | 0.0559 | <0.0001 | | −0.5801 | −0.6804 | −0.4785 | 0.0558 | <0.0001 |
| DIC | 436.240 | | | | | Number of observations | 894 | | | | |
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