Assumption testing is the process of verifying that the assumptions underlying a statistical model are satisfied before making inferences based on that model. This ensures that the results of the analysis are valid and reliable, as violations of these assumptions can lead to misleading conclusions. In the context of probabilistic population forecasts, assumption testing is crucial for evaluating the accuracy and credibility of the forecasts generated, as it impacts the robustness of projections related to demographic changes.
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