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Table 5 MLEs, their SEs (in parentheses) and goodness of fit measures for the turbocharger data set

From: Generalized logistic distribution and its regression model

 

MLE

\( -\mathrm{\ell}\left(\hat{\theta}\right) \)

AIC

KS (p-value)

E‐L{GW}(μ, σ, ξ)

7.7777 (1.1696)

1.8229 (0.5912)

1.9295 (1.8198)

80.0798

166.1595

0.0741 (0.9807)

EEL(α, λ, θ)

161.0992 (725.8089)

4.0828 (6.0810)

5.8891 (6.8837)

87.1234

180.2468

0.1315 (0.4930)

PRHL(μ, λ, α)

8.6753 (0.3141)

0.1959 (0.1672)

0.0801 (0.0769)

80.4757

166.9513

0.1141 (0.6750)

GG(μ, σ, β)

−66.6650 (299.6159)

−199.3733 (817.4937)

−128.7707 (528.6058)

83.7637

173.5274

0.0899 (0.9038)

TEV(μ, σ, α)

4.5182 (0.4648)

1.9043 (0.2130)

−0.6244 (0.2855)

87.8765

181.7530

0.1421 (0.3942)