A comparison of GEE and random effects models for distinguishing heterogeneity, nonstationarity and state dependence in a collection of short binary event series

Crouchley, R and Davies, R B (2001) A comparison of GEE and random effects models for distinguishing heterogeneity, nonstationarity and state dependence in a collection of short binary event series. Statistical Modelling, 1. pp. 271-285. ISSN 1471-082X

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Item Type:

Journal Article

Journal or Publication Title:

Statistical Modelling

Uncontrolled Keywords:

/dk/atira/pure/subjectarea/asjc/2600/2611

Subjects:

?? modelling and simulationstatistics and probabilitydiscipline-based research ??

Departments:

Faculty of Science and Technology > Mathematics and Statistics
Lancaster University Management School > Lancaster University Management School - Other > Centre for e-Science

ID Code:

44702

Deposited By:

ep_importer_pure

Deposited On:

11 Jul 2011 18:20

Refereed?:

Yes

Published?:

Published

Last Modified:

15 Jul 2024 12:00

URI:

https://eprints.lancs.ac.uk/id/eprint/44702