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Parameter Redundancy in Models with Individual Random Effects

Cole, Diana J. and Choquet, R. (2012) Parameter Redundancy in Models with Individual Random Effects. Technical report. University of Kent (Unpublished) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. (Contact us about this Publication)

Abstract

In parameter redundant models it is not possible to estimate all the parameters regardless of the amount of data collected. Introducing individual random effects may result in models that are no longer parameter redundant. Here we show how it is possible to determine whether or not a wide class of models with individual random effects are parameter redundant.

Item Type: Monograph (Technical report)
Subjects: Q Science > QA Mathematics (inc Computing science) > QA276 Mathematical statistics
Divisions: Faculties > Sciences > School of Mathematics Statistics and Actuarial Science > Statistics
Depositing User: Diana Cole
Date Deposited: 30 May 2014 09:19 UTC
Last Modified: 29 May 2019 12:37 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/41229 (The current URI for this page, for reference purposes)
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