Cross Classified Models Part 2: Model fitting

Leckie, George (2021) Cross Classified Models Part 2: Model fitting. [Video]

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Abstract

In this second lecture, Professor George Leckie fits several cross-classified models to the Fife dataset introducing notation and diagrams to represent cross-classified structures. He also explains how to extend the concepts of the ICC and VPC to cross-classified models and how to fit predictor variables, showing how they explain different sources of variation.

Item Type: Video
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 > 5.2.5 Bayesian methods
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 > 5.3 Small Area Estimation > 5.3.2 Multilevel models
5. Quantitative Data Handling and Data Analysis > 5.10 Latent Variable Models > 5.10.12 Cluster analysis
Depositing User: NCRM users
Date Deposited: 05 Jan 2022 15:19
Last Modified: 05 Jan 2022 15:19
URI: https://eprints.ncrm.ac.uk/id/eprint/4503

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