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micro-module

Maximum Likelihood Estimation

Maximum Likelihood Estimation

(MLE)
Finished

Description

In this course, you will examine Maximum Likelihood Estimation (MLE). It is one of the most important parameter estimation techniques in statistical modelling.

The Team

Teachers

Meet the expert teaching staff, who is here to guide you through this learning opportunity.

AM
Andrew McCarren
Teacher

Learners

1 learners
Study period
20 May – 30 August 2024
Study format
Online
Application period
13 May – 16 August 2024
Volume of learning

4 Hours

No ECTS will be awarded

Hosting university
Dublin City University
Learner type
EQF Level

Master Level

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Information

Value and progress

L01

Upon completion of the ELO, the learner will understand what Maximum Likelihood Estimation (MLE) is.

ESCO SKILLS

L02

Upon completion of the ELO, the learner will implement MLE to estimate parameter estimates for the mean and regression models.

ESCO SKILLS

L03

Upon completion of the ELO, the learner will outline the optimal characteristics of a maximum likelihood estimator.

ESCO SKILLS

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Hosting university

Dublin City University

Dublin City University