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. Author manuscript; available in PMC: 2020 Mar 1.
Published in final edited form as: Risk Anal. 2018 Oct 25;39(3):616–629. doi: 10.1111/risa.13218

Table 2.

Summary statistics for various parameters in selected lognormal models from Table 1, as extracted from QRAD. Model numbers and parameters correspond to those described in the text. Reported means and variances are based on QRAD estimates after logarithmic transformation.

Model (no.) parameter mean, μ variance, σ2 expected value* percentiles: 12.5% 87.5%
Quantal-linear (1) β1 −0.470 1.688 1.453 0.130 2.902
Multi-stage (2) β1 −1.006 4.949 4.341 0.0 2.052
β2 −1.016 5.013 4.440 0.0 1.303
Weibull (3) α −0.243 2.467 2.693 0.370 2.594
β −0.464 1.535 1.355 0.130 2.659
Gamma (4) α −0.153 2.637 3.206 0.315 3.510
β −0.587 5.659 9.414 0.039 5.854
Logistic (5) β1 1.018 0.603 3.744 1.100 6.620
Log-Logistic (6) β1 0.274 0.960 2.125 0.448 3.777
Probit (7) β1 0.473 0.638 2.206 0.589 3.687
Log-Probit (8) β1 −0.186 0.579 1.108 0.311 1.948
*

For Y ~ LN(μ,σ2), E[Y] = exp{μ + σ2}.

Values for α component in Models (3) and (4) are based on log(α′) = log(α – 0.2).