Point estimation refers to the process of providing a single value, or point estimate, as the best guess for an unknown parameter in a statistical model. This method is essential for making inferences about populations based on sample data, and it connects to various concepts such as the likelihood principle, loss functions, and optimal decision rules, which further guide how point estimates can be derived and evaluated.
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