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Table 2 illustrates two more QT est analyses for KT-V4. However, both DM1 and DM13 reject that Null Hypothesis with small p-values. For example, QT est can estimate binary choice probabilities subject to the constraint that the error probabilities, summed over all gamble pairs, are limited to some maximum amount, say 0.
5 (this is a restrictive model allowing at most an average error rate of 5 per gamble pair), and provide a goodness-of-fit for KT-V4. Again, HDM fits perfectly, but DM1 and DM13 reject that model with small p-values.