Applications
Maximum likelihood estimation is used for a wide range of statistical models, including:
- linear models and generalized linear models;
- exploratory and confirmatory factor analysis;
- structural equation modeling;
- many situations in the context of hypothesis testing and confidence interval formation;
- discrete choice models.
These uses arise across applications in widespread set of fields, including:
- communication systems;
- psychometrics;
- econometrics;
- time-delay of arrival (TDOA) in acoustic or electromagnetic detection;
- data modeling in nuclear and particle physics;
- magnetic resonance imaging;
- computational phylogenetics;
- origin/destination and path-choice modeling in transport networks;
- geographical satellite-image classification.
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