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

Table 2.

Alternative estimator results for log-normal, gamma and weibull distributions for n=25

Data Estimator MPE MAPE MSE(β) 95% CI AIC Prob. H.Lsignif
Lower upper
Log normal σ2=0.5 OLS for Ln(y) -0.13903 0.58026 0.28579 0.798 1.214 56.527 0.0484
Gamma -0.00070 0.53623 0.24738 0.765 1.221 43.796 0.0453
Weibull -0.11815 0.57319 0.25534 0.742 1.236 45.032 0.0493
Cox -1.45570 3.85240 6.77976 -1.823 -1.089 114.191 0.0522
Log normal σ2=1 OLS for Ln(y) -0.14087 0.80071 0.57158 0.715 1.303 73.856 0.0467
Gamma -0.00259 0.74803 0.47688 0.637 1.332 49.636 0.0432
Weibull -0.02790 0.75177 0.51067 0.635 1.333 49.889 0.0451
Cox -1.02151 3.67692 4.79504 -1.374 -0.670 115.543 0.0581
Log normal σ2=1.5 OLS for Ln(y) -0.14266 0.96247 0.85736 0.651 1.371 83.992 0.0481
Gamma -0.00667 0.90470 0.69826 0.523 1.427 48.094 0.0440
Weibull 0.08439 0.85470 0.76599 0.553 1.407 47.547 0.0442
Cox -0.83058 3.61682 4.04647 -1.179 -0.483 116.007 0.0544
Log normal σ2=2 OLS for Ln(y) -0.14384 1.08909 1.14315 0.597 1.429 91.184 0.0485
Gamma -0.01478 1.03115 0.91562 0.420 1.514 43.316 0.0429
Weibull 0.19665 0.91580 1.02132 0.484 1.470 42.107 0.0414
Cox -0.71755 3.58418 3.63860 -1.06 -0.373 116.245 0.0536
Gamma α=0.5 OLS for Ln(y) -0.30508 1.10870 4.184 0.327 1.646 112.098 0.1269
Gamma -0.00608 0.93533 1.831 0.514 1.405 40.684 0.0468
Weibull 0.22314 0.86661 2.132 0.509 1.426 41.359 0.0455
Cox -0.70630 3.61984 3.532 -1.054 -0.359 116.236 0.0534
Gamma α =1 OLS for Ln(y) -0.16364 0.76291 1.424 0.626 1.380 85.253 0.0727
Gamma -0.00141 0.70474 0.854 0.687 1.289 51.104 0.0470
Weibull -0.01889 0.70780 0.858 0.686 1.290 51.072 0.0481
Cox 1.07902 3.67304 4.794 -1.412 -0.714 115.454 0.0546
Gamma α =2 OLS for Ln(y) -0.14447 0.55706 0.567 0.779 1.240 62.351 0.0545
Gamma -0.00064 0.51805 0.422 0.760 1.203 45.250 0.0461
Weibull -0.11319 0. 54472 0.406 0.773 1.202 45.302 0.0485
Cox 1.52397 3.95791 6.794 -1.887 -1.161 113.989 0.0583
Gamma α =4 OLS for Ln(y) -0.13872 0.40613 0.248 0.847 1.166 42.011 0.0479
Gamma -0.00020 0.37338 0.208 0.851 1.150 32.861 0.0431
Weibull -0.12969 0.40265 0.200 0.840 1.151 33.311 0.0471
Cox -2.18196 4.31535 10.402 -2.572 -1.792 111.303 0.0486
Wiebull α=0.5 OLS for Ln(y) -0.34517 1.36816 3.73002 0.251 1.761 119.821 0.1253
Gamma -0.02216 1.15326 1.73985 0.296 1.600 22.472 0.0448
Weibull 0.43461 0.95799 2.23442 0.349 1.581 22.094 0.0408
Cox -0.51486 3.57624 2.98777 -0.948 -0.082 116.549 0.0531
Wiebull α =1 OLS for Ln(y) -0.16807 0.76539 0.93251 0.626 1.380 85.164 0.0702
Gamma -0.00210 0.70482 0.56343 0.676 1.290 51.009 0.0492
Weibull -0.01845 0.70757 0.55860 0.675 1.291 50.971 0.0502
Cox -1.04789 3.75803 4.92479 -1.489 -0.607 115.443 0.0526
Wiebull α =5 OLS for Ln(y) -0.13691 0.20584 0.03730 0.926 1.076 4.692 0.0526
Gamma -0.00006 0.17590 0.03153 0.930 1.068 0.040 0.0412
Weibull -0.08524 0.18546 0.02234 0.935 1.059 -2.112 0.0470
Cox -5.24388 7.34860 40.76941 -5.785 -4.703 96.674 0.0526