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This problem highlights one of the central ideas in statistical inference: the geometry of the support directly shapes the structure of the likelihood and, consequently, the form of the estimator. Instead of treating the observations as isolated numerical values, the solution studies how the sampled points collectively constrain the unknown ...
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