Research Article
Frequentist and Bayesian Approaches in Modeling and Prediction of Extreme Rainfall Series: A Case Study from Southern Highlands Region of Tanzania
Table 5
MLE, Bayesian MCMC, and L-moments parameter estimates.
| Region | MLE | Bayesian MCMC | L-moments | | | | | | | | | |
| Iringa | 50.31 | 9.072 | 0.249 (0.174) (−0.091, 0.5899) | 48.92 | 9.446 | 0.298 (0.135) | 50.212 | 9.333 | 0.218 (0.152) | Mbeya | 48.15 | 11.19 | 0.089 (0.156) (−0.216, 0.3948) | 51.27 | 12.45 | 0.172 (0.112) | 50.41 | 10.74 | 0.137 (0.168) | Rukwa | 66.81 | 14.24 | −0.06 (0.142) (−0.338, 0.218) | 50.72 | 11.1 | 0.258 (0.143) | 50.61 | 9.9 | 0.184 (0.212) | Ruvuma | 48.15 | 10.50 | 0.0199 (0.194) (−0.359, 0.3993) | 52.99 | 9.94 | 0.255 (−0.079) | 52.52 | 8.83 | 0.174 (0.188) |
|
|