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Model-Averaged Confidence Intervals

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Figure

Figure 1: Plot of the coverage probability for MPI, with nominal coverage 0.95, for the seeding effect in the cloud seeding example when the submodel is defined by setting the coefficient of the squared seedability equal to zero.
Figure 2: Plot of the scaled expected length for MPI, with nominal coverage 0.95, for the seeding effect in the cloud seeding example when the submodel is defined by setting the coefficient of the squared seedability equal to zero.
Figure 3: Plot of the coverage probability for MATA, with nominal coverage 0.95, for the seeding effect in the cloud seeding example when the submodel is defined by setting the coefficient of the squared seedability equal to zero.
Figure 4: Plot of the scaled expected length for MATA, with nominal coverage 0.95, for the seeding effect in the cloud seeding example when the submodel is defined by setting the coefficient of the squared seedability equal to zero.
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