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Given a sample from a fully specified parametric model, let Z<sub><em>n</em></sub> be a given finite-dimensional statistic - for example, an initial estimator or a set of sample moments. We propose to (re-)estimate the parameters of the model by maximizing the likelihood of Z<sub><em>n</em></sub>. We call this the maximum indirect...
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