From: A generalization to the log-inverse Weibull distribution and its applications in cancer research
Model | Estimates | Log- Likelihood | AIC | BIC | AICc | CAIC |
---|---|---|---|---|---|---|
ExLIWD | a = −52.1710 | − 302.152 | 612.304 | 619.059 | 613.447 | 623.059 |
b = 64.1700 | ||||||
c = 20.9500 | ||||||
δ = 197.8530 | ||||||
GIGWD | α = 103.3477 | −302.5133 | 613.026 | 619.782 | 614.169 | 623.782 |
β = 0.4037 | ||||||
λ = 1.6950 | ||||||
γ = 65.9424 | ||||||
EPLD | α = 99.8469 | − 309.992 | 625.98 | 631.05 | 626.65 | 634.05 |
β = 0.2754 | ||||||
θ = 0.9727 | ||||||
LD | α = 2000 | − 312.6802 | 631.360 | 636.427 | 632.027 | 639.427 |
β = 3.4320 | ||||||
θ = 0.0011 | ||||||
KMIWD | a = 35.5061 | −312.510 | 635.010 | 645.230 | 636.190 | 650.230 |
δ = 2.7100 | ||||||
ρ = 37.5790 | ||||||
σ = 2.2130 | ||||||
β = 3.3500 | ||||||
IGWD | α = 1.2544 | − 316.2267 | 638.453 | 643.520 | 639.120 | 646.520 |
β = 1.1424 | ||||||
λ = 687.2870 | ||||||
ELIWD | a = −695.5900 | − 317.12 | 638.24 | 645.31 | 638.91 | 648.31 |
b = 702.1100 | ||||||
c = 839.8900 | ||||||
LGIWD | μ = 2300.5860 | −350.173 | 706.346 | 711.412 | 707.346 | 714.412 |
σ = 2877.8820 | ||||||
γ = 0.6558 | ||||||
EGIWD | ϑ = 1.1021 | − 354.570 | 717.471 | 724.226 | 718.614 | 728.226 |
α = 1.0900 | ||||||
δ = 0.9330 | ||||||
β = 0.4531 | ||||||
GIWD | σ = 0.2980 | − 397.791 | 801.582 | 806.648 | 802.248 | 814.278 |
β = 0.7920 | ||||||
ϑ = 3.2610 |