Table 2 Parameter estimates, KS statistic, P-value and logL of flood level data
From: Extended inverse Lindley distribution: properties and application
Dist. | \(\hat{\theta }\) | \(\hat{\beta }\) | \(\hat{\alpha }\) | K-S | P-value | \(\log L\) |
|---|---|---|---|---|---|---|
\(EIL(\theta ,\beta ,\alpha )\) | 0.1052 | 4.0439 | 2.9573 | 0.1395 | 0.8311 | 1 6.2317 |
\(EIL(\theta ,1,\alpha )\) | 0.0899 | – | 3.0763 | 0.1445 | 0.7977 | 16.1475 |
\(EIL(\theta ,0,\alpha )\) | 0.0123 | – | 4.2873 | 0.1545 | 0.7263 | 16.096 |
\(GIW(\theta ,\beta ,\alpha )\) | 0.0302 | 4.3127 | 0.8071 | 0.1560 | 0.7150 | 1 6.097 |
\(EIL(\theta ,1,1)\) | 0.6345 | – | – | 0.3556 | 0.0127 | -0.5854 |