Table 5 The findings of the PH regression model.
From: Discrete Poisson Haq distribution with mathematical properties and count data modeling
Para. | PH | PTRTE | Poisson | |||
|---|---|---|---|---|---|---|
Esti. (SE) | p-value | Esti. (SE) | p-value | Esti. (SE) | p-value | |
\(\:{\beta\:}_{0}\) | 1.4060(0.0381) | < 0.0001 | 2.9942(0.0429) | < 0.0001 | 1.4560(0.0158) | < 0.0001 |
\(\:{\beta\:}_{1}\) | 0.9580(0.0294) | < 0.0001 | 0.9655(0.0362) | < 0.0001 | 0.9603(0.0122) | < 0.0001 |
\(\:{\beta\:}_{2}\) | − 0.1256(0.0306) | < 0.0001 | − 0.1255(0.0364) | < 0.0001 | −0.1239(0.0118) | < 0.0001 |
\(\:{\beta\:}_{3}\) | 0.3683(0.0305) | < 0.0001 | 0.3940(0.0366) | < 0.0001 | 0.3266(0.0121) | < 0.0001 |
\(\:{\beta\:}_{4}\) | 0.1190(0.0324) | < 0.0001 | −0.0107(0.0043) | < 0.0001 | 0.1222(0.0124) | < 0.0001 |
\(\:\alpha\:\) | - | - | 4.7501(0.1664) | - | - | - |
\(\:-l\) | 10,822 | 11,164 | 11,190 | |||
AIC | 21,653 | 22,338 | 22,390 | |||
BIC | 21,684 | 22,369 | 22,421 | |||
