Maximum Likelihood - Applications

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.