Using Censored Data to Estimate a Normal Distribution
Read OriginalThis technical article explores a statistical inference problem: how to estimate a normal distribution for a future event (like temperature) when data is limited to binary responses from experts asked if the value will be above or below specific thresholds. It details a simulation-based approach using Python to model scientist predictions and derive probabilistic estimates, focusing on core statistical concepts relevant to data science and modeling.
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