Cross Classified Models Part 3: Extensions and Further Applications
Browne, William (2021) Cross Classified Models Part 3: Extensions and Further Applications. [Video]
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Official URL: https://www.youtube.com/watch?v=bjREUqENt1c
Abstract
In this third lecture, Professor William Browne shows how we can extend cross-classified models to more than 2 higher-level classifications and different response types and how the notation and classification diagrams can be extended. Two examples from epidemiology and ecology are used to look at how cross-classified models can be used to estimate the importance of different factors using 3 and 4 higher-level classifications.
Item Type: | Video |
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Subjects: | 5. Quantitative Data Handling and Data Analysis > 5.2 Statistical Theory and Methods of Inference 5. Quantitative Data Handling and Data Analysis > 5.2 Statistical Theory and Methods of Inference > 5.2.6 Markov Chain Monte Carlo (MCMC) 5. Quantitative Data Handling and Data Analysis > 5.6 Multilevel Modelling 7. ICT and Software > 7.2 Quantitative Software |
Depositing User: | NCRM users |
Date Deposited: | 05 Jan 2022 16:03 |
Last Modified: | 05 Jan 2022 16:03 |
URI: | https://eprints.ncrm.ac.uk/id/eprint/4504 |