Table 14 The ML estimates and SEs of the parameters of the EAPLL model and other models for carbon fibers data.
From: Properties, estimation, and applications of the extended log-logistic distribution
Models | Estimates and SEs | |||||
|---|---|---|---|---|---|---|
EAPLL(\(\beta , \lambda , \theta , \alpha \)) | 0.3350 | 0.3309 | 7.2540 | 5.4004 | Â | Â |
(0.0942) | (0.0524) | (1.4377) | (12.9625) | Â | Â | |
KwLL(\(a, b, \alpha , \beta \)) | 0.3467 | 1.0474 | 3.4115 | 7.2673 | Â | Â |
(0.3235) | (1.1470) | (0.7526) | (4.9640) | Â | Â | |
AWLL(\(\alpha ,\lambda ,a,b,c,d\)) | 2.0217 | 14.5887 | 73.9629 | 1.3814 | 13.3971 | 1.3814 |
(77.9242) | (1954.4477) | (25467.6279) | (53.2548) | (16714.6989) | (53.2117) | |
EOWLL(\(\alpha , \beta , \lambda , \tau \)) | 1.4139 | 0.1386 | 4.3838 | 2.1496 | Â | Â |
(0.1652) | (0.0613) | (0.1890) | (1.0205) | Â | Â | |
WGLL(\(\alpha , a, \beta \)) | 1.0362 | 0.4971 | 3.5673 | Â | Â | Â |
(0.8590) | (0.2432) | (2.0896) | Â | Â | Â | |
ExLL(\(\alpha , \beta , \lambda \)) | 2.1198 | 3.4385 | 128.5259 | Â | Â | Â |
(0.7267) | (0.3693) | (76.2269) | Â | Â | Â | |
APLL(\(\lambda , \theta , \alpha \)) | 2.4831 | 4.1171 | 1.0510 | Â | Â | Â |
(1.4920) | (0.3454) | (5.1946) | Â | Â | Â | |
ELL(\(\lambda , \beta , \theta \)) | 3.3710 | 7.3389 | 0.3370 | Â | Â | Â |
(0.2114) | (1.3751) | (0.0925) | Â | Â | Â | |
LL(\(\alpha , \beta \)) | 2.4982 | 4.1178 | Â | Â | Â | Â |
(0.1054) | (0.3441) | Â | Â | Â | Â | |