Interval Estimation - University of Arizona
likelihood, and evaluate the quality of the estimator by evaluating the bias and the variance of the estimator. Often, we know more about the distribution of the estimator and this allows us to take a more comprehensive statement about the estimation procedure. Interval estimation is an alternative to the variety of techniques we have examined.
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Topic 15: Maximum Likelihood Estimation
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Topic 15 Maximum Likelihood Estimation
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