Abstract
As we have seen once we have an estimator and its sampling distribution we can easily obtain confidence intervals and tests regarding the parameter. We now develop the theory of estimation focusing on the method of maximum likelihood, which for parametric models is the most widely used method. This will also supply us with a collection of statistical methods for important problems.
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© 2014 Springer International Publishing Switzerland
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Rohde, C.A. (2014). Maximum Likelihood: Basic Results. In: Introductory Statistical Inference with the Likelihood Function. Springer, Cham. https://doi.org/10.1007/978-3-319-10461-4_7
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DOI: https://doi.org/10.1007/978-3-319-10461-4_7
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Publisher Name: Springer, Cham
Print ISBN: 978-3-319-10460-7
Online ISBN: 978-3-319-10461-4
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