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The differences between models with differing numbers of clusters were exposed by the LRT statistics, where a low p-value (<0.05) indicated that the qualified model fits the used data better than the model with one less cluster.
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My description had fit the use of the walking stick better than the visual of walking on stilts.
Where LOESS curves were fitted, the span used was 0.95.
We fitted the models using maximum likelihood.
We fitted the model using multiple group analysis (Byrne, 2004).
We fitted the model using three arbitrarily chosen bandwidth values.
We were unable to fit the data using nonlinear transformations.
We fitted the model using Proc NLMIXED of SAS.
Alternatively, fit the two injections using 2 different events.
Agreement between the curve fits using both the GHM and ADF and experiment is within 0.001 percent error.
Figure 2: Reconstructed invariant mass fits used to extract the signal yields.
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