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BGIM : Maximum Likelihood Estimation Primer

Created by Shaun Purcell of the Social, Genetic and Development Pyschiatry Research Centre, this set of pages is an introduction to the maximum likelihood estimation. It discusses the likelihood and log-likelihood functions and the process of optimizing. The author breaks the page down in this way: introduction, model-fitting, MLE in practice, likelihood ratio test, MLE analysis of twin data and MLE analysis of linkage data. The author offers further reading for extra study of this statistical method.

Keywords:: stem education, workforce development, technician training, advanced technological education

Disciplines:

Mathematics and Statistics / Statistics and Probability

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More about this material

Material Type:: Collection
Date Added to MERLOT:: July 18, 2016
Date Modified in MERLOT:: July 18, 2016
Author:: Purcell, Shaun, King's College London
Submitter:: Barbra Bied Sperling

Primary Audience:: College General Ed, College Lower Division, College Upper Division, Graduate School, Professional
Technical Format:: Website
Mobile Compatibility:: Not specified at this time
Language:: English
Cost Involved:: No
Source Code Available:: No
Creative Commons:: No