Skip to main content
. 2015 May 27;5:11. doi: 10.1186/s13561-015-0045-7

Table 3.

Alternative estimator results for log-normal, gamma and weibull distributions for n=50

Data Estimator MPE MAPE MSE(β) 95% CI AIC Prob. H.Lsignif
Lower upper
Log normal σ2=0.5 OLS for Ln(y) -0.06472 0.56174 0.14414 0.901 1.109 110.247 0.0403
Gamma -0.00024 0.54325 0.12915 0.880 1.112 84.882 0.0377
Weibull -0.11401 0.58013 0.13512 0.865 1.119 87.987 0.0416
Cox -1.37774 3.67486 5.99725 -1.550 -1.206 292.456 0.0507
Log normal σ2=1 OLS for Ln(y) -0.06560 0.77896 0.28826 0.861 1.153 144.905 0.0375
Gamma -0.00084 0.75579 0.24681 0.809 1.169 97.178 0.0332
Weibull -0.01498 0.75773 0.27025 0.809 1.169 97.694 0.0344
Cox -0.96876 3.53907 4.20450 -1.135 -0.803 295.126 0.0536
Log normal σ2=1.5 OLS for Ln(y) -0.06646 0.93700 0.43240 0.830 1.188 165.178 0.0346
Gamma -0.00204 0.91116 0.35880 0.743 1.219 94.667 0.0309
Weibull 0.10499 0.85852 0.40537 0.766 1.206 93.005 0.0298
Cox -0.78847 3.49213 3.52210 -0.952 -0.624 296.053 0.0556
Log normal σ2=2 OLS for Ln(y) -0.06989 1.10461 0.57653 0.803 1.217 179.5625 0.0347
Gamma -0.00465 1.07701 0.46796 0.680 1.266 89.735 0.0307
Weibull 0.23242 0.95573 0.54049 0.730 1.238 86.227 0.0281
Cox -0.68152 3.46853 3.14852 -0.846 -0.520 296.522 0.0504
Gamma α=0.5 OLS for Ln(y) -0.13425 1.01591 2.105 0.675 1.334 222.881 0.1086
Gamma -0.00197 0.94922 0.891 0.772 1.208 77.941 0.0351
Weibull 0.24545 0.87554 1.055 0.770 1.219 79.168 0.0346
Cox -0.70741 3.51983 3.211 -0.871 -0.544 296.415 0.0531
Gamma α =1 OLS for Ln(y) -0.07705 0.47464 0.702 0.813 1.190 168.791 0.0608
Gamma -0.00047 0.28527 0.426 0.847 1.144 100.154 0.0388
Weibull -0.00937 0.28340 0.428 0.847 1.145 100.134 0.0389
Cox 1.03789 0.33563 4.397 -1.198 -0.871 294.821 0.0531
Gamma α =2 OLS for Ln(y) -0.06760 0.54581 0.278 0.886 1.125 122.363 0.0498
Gamma -0.00026 0.53020 0.212 0.896 1.106 87.850 0.0438
Weibull -0.11172 0.55696 0.201 0.893 1.106 88.214 0.0470
Cox 1.47746 3.80179 6.397 -1.648 -1.307 291.826 0.0504
Gamma α =4 OLS for Ln(y) -0.06486 0.39403 0.123 0.927 1.087 81.482 0.0456
Gamma -0.00003 0.38221 0.106 0.928 1.079 63.053 0.0424
Weibull -0.13114 0.41234 0.103 0.923 1.080 64.471 0.0471
Cox -2.09719 4.10274 9.736 -2.282 -1.912 286.445 0.0496
Wiebull α=0.5 OLS for Ln(y) -0.15405 1.25405 1.89494 0.638 1.396 237.978 0.1004
Gamma -0.00678 1.16471 0.84376 0.652 1.304 43.032 0.0352
Weibull 0.47033 0.96587 1.14195 0.690 1.296 41.454 0.0333
Cox -0.50825 3.47052 2.60197 -0.754 -0.264 297.097 0.0504
Wiebull α =1 OLS for Ln(y) -0.07916 0.74709 0.47373 0.819 1.199 168.664 0.0625
Gamma -0.00076 0.72112 0.28681 0.845 1.147 99.360 0.0416
Weibull -0.00859 0.72241 0.28548 0.844 1.148 99.339 0.0418
Cox -1.02239 3.63137 4.43438 -1.272 -0.776 294.819 0.0521
Wiebull α =5 OLS for Ln(y) -0.06425 0.18584 0.01895 0.964 1.040 7.720 0.051
Gamma -0.00003 0.18068 0.01658 0.967 1.035 -1.858 0.0452
Weibull -0.08750 0.19046 0.01142 0.969 1.029 -6.490 0.0534
Cox -5.11234 6.96179 38.13497 -5.360 -4.864 256.001 0.0493