Skip to main content

Table 7 Estimated values of parameters and computed values of information measures of various distributions corresponding to Data set 1

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