2009Journal of Chuxiong Normal UniversityRequires access

Annotations on the Maximum Likelihood Estimation Teaching

Hu Zha

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Abstract

The easy slighting problems in maximum likelihood estimation teaching are summarized in this paper. Also the authors illustrated the special conditions in maximum likelihood estimation. Finally,the authors pointed out that not all of parameters exist maximum likelihood estimation.

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The easy slighting problems in maximum likelihood estimation teaching are summarized in this paper. Also the authors illustrated the special conditions in maximum likelihood estimation. Finally,the authors pointed out that not all of parameters exist maximum likelihood estimation.

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Available abstract

The easy slighting problems in maximum likelihood estimation teaching are summarized in this paper. Also the authors illustrated the special conditions in maximum likelihood estimation. Finally,the authors pointed out that not all of parameters exist maximum likelihood estimation.

Key concepts: Maximum likelihood, Maximum likelihood sequence estimation, Estimation, Restricted maximum likelihood, Estimation theory, Statistics, Maximum a posteriori estimation, Expectation–maximization algorithm

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