Abstract
Maximum likelihood estimation (MLE) under regular conditions can be found in most statistical books. In non-regular cases, however, it involves all kinds of problems, such as solution on the boundary of parameter space, multiple roots, non-existence, inconsistency in the presence of many incidental parameters, etc.
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Qin, J. (2017). Brief Review of Parametric Likelihood Inferences. In: Biased Sampling, Over-identified Parameter Problems and Beyond. ICSA Book Series in Statistics. Springer, Singapore. https://doi.org/10.1007/978-981-10-4856-2_4
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DOI: https://doi.org/10.1007/978-981-10-4856-2_4
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