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In Chapter 16, we defined an estimator of some unknown quantity, θ, based on experimentally sampled data, X. This estimator, denoted by θ^ML(X), is called a maximum likelihood (ML) estimator, because it returns that value of θ that produces the highest likelihood of witnessing the particular sampled data.
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